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Smartly: Marketing Fundamentalshttps://smart.ly/course/abd47e21-4b59-4ccf-910d-fb1c18b2e9df
Treehouse: SEO Basicshttps://teamtreehouse.com/library/seo-basics
The Personal MBA: Master the Art of Businesshttps://www.amazon.com/Personal-MBA-Master-Art-Business/dp/1591845572
Thoughtbot: Analytics for Developershttps://thoughtbot.com/upcase/analytics-for-developers
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Udacity: Get Your Startup Startedhttps://www.udacity.com/course/get-your-startup-started--ud806
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Datacamp: Intermediate Spreadsheets for Data Sciencehttps://www.datacamp.com/courses/intermediate-spreadsheets-for-data-science
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edX: Analyzing and Visualizing Data with Excelhttps://www.edx.org/course/analyzing-visualizing-data-excel-microsoft-dat206x-7
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Datacamp: Data Types for Data Sciencehttps://www.datacamp.com/courses/data-types-for-data-science
Datacamp: Cleaning Data in Pythonhttps://www.datacamp.com/courses/cleaning-data-in-python
Datacamp: Feature Engineering for Machine Learning in Pythonhttps://www.datacamp.com/courses/feature-engineering-for-machine-learning-in-python
Datacamp: Importing Data in Python (Part 2)https://www.datacamp.com/courses/importing-data-in-python-part-2
Datacamp: Importing & Managing Financial Data in Pythonhttps://www.datacamp.com/courses/importing-managing-financial-data-in-python
Datacamp: Manipulating Time Series Data in Pythonhttps://www.datacamp.com/courses/manipulating-time-series-data-in-python
Datacamp: Working with Geospatial Data in Pythonhttps://www.datacamp.com/courses/working-with-geospatial-data-in-python
Datacamp: Web Scraping in Pythonhttps://www.datacamp.com/courses/web-scraping-with-python
Datacamp: Analyzing IoT Data in Pythonhttps://www.datacamp.com/courses/analyzing-iot-data-in-python
Datacamp: Dealing with Missing Data in Pythonhttps://www.datacamp.com/courses/dealing-with-missing-data-in-python
Datacamp: Exploratory Data Analysis in Pythonhttps://www.datacamp.com/courses/exploratory-data-analysis-in-python
edX: Data Science Essentialshttps://www.edx.org/course/data-science-essentials-microsoft-dat203-1x-5
Google: Feature Engineeringhttps://www.coursera.org/learn/feature-engineering
Udacity: Creating an Analytical Datasethttps://www.udacity.com/course/creating-an-analytical-dataset--ud977
https://github.com/CompSci-Learning-Repository/learning#be-able-to-experiment-in-notebook
Pluralsight: Getting Started with Jupyter Notebook and Pythonhttps://www.pluralsight.com/courses/jupyter-notebook-python
https://github.com/CompSci-Learning-Repository/learning#be-able-to-visualize-data
Datacamp: Introduction to Data Visualization with Pythonhttps://www.datacamp.com/courses/introduction-to-data-visualization-with-python
Datacamp: Introduction to Seabornhttps://www.datacamp.com/courses/introduction-to-seaborn
Datacamp: Introduction to Matplotlibhttps://www.datacamp.com/courses/introduction-to-matplotlib
Datacamp: Intermediate Data Visualization with Seabornhttps://www.datacamp.com/courses/data-visualization-with-seaborn
Datacamp: Visualizing Time Series Data in Pythonhttps://www.datacamp.com/courses/visualizing-time-series-data-in-python
Datacamp: Improving Your Data Visualizations in Pythonhttps://www.datacamp.com/courses/improving-your-data-visualizations-in-python
Datacamp: Visualizing Geospatial Data in Pythonhttps://www.datacamp.com/courses/visualizing-geospatial-data-in-python
Datacamp: Interactive Data Visualization with Bokehhttps://www.datacamp.com/courses/interactive-data-visualization-with-bokeh
Udacity: Data Visualization in Tableauhttps://www.udacity.com/course/data-visualization-in-tableau--ud1006
https://github.com/CompSci-Learning-Repository/learning#be-able-to-to-read-research-papers
Paper: A Neural Probabilistic Language Modelhttp://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf
Paper: Efficient Estimation of Word Representations in Vector Spacehttps://arxiv.org/pdf/1301.3781.pdf
Paper: Sequence to Sequence Learning with Neural Networkshttps://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
Paper: Neural Machine Translation by Jointly Learning to Align and Translatehttps://arxiv.org/abs/1409.0473
Paper: Attention Is All You Needhttps://arxiv.org/abs/1706.03762
Paper: BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/abs/1810.04805
Paper: XLNet: Generalized Autoregressive Pretraining for Language Understandinghttps://arxiv.org/abs/1906.08237
Paper: Synonyms Based Term Weighting Scheme: An Extension to TF.IDFhttps://www.researchgate.net/publication/306362767_Synonyms_Based_Term_Weighting_Scheme_An_Extension_to_TFIDF
Paper: RoBERTa: A Robustly Optimized BERT Pretraining Approachhttps://arxiv.org/abs/1907.11692
Paper: GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understandinghttps://www.nyu.edu/projects/bowman/glue.pdf
Paper: Amazon.com Recommendations Item-to-Item Collaborative Filteringhttps://www.cs.umd.edu/~samir/498/Amazon-Recommendations.pdf
Paper: Collaborative Filtering for Implicit Feedback Datasetshttp://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=34AEEE06F0C2428083376C26C71D7CFF?doi=10.1.1.167.5120&rep=rep1&type=pdf
Paper: BPR: Bayesian Personalized Ranking from Implicit Feedbackhttps://arxiv.org/pdf/1205.2618.pdf
Paper: Factorization Machineshttps://cseweb.ucsd.edu/classes/fa17/cse291-b/reading/Rendle2010FM.pdf
Paper: Wide & Deep Learning for Recommender Systemshttps://arxiv.org/pdf/1606.07792.pdf
Paper: Neural Factorization Machines for Sparse Predictive Analyticshttps://l.facebook.com/l.php?u=https%3A%2F%2Farxiv.org%2Fpdf%2F1708.05027.pdf&h=AT3VuDk1rSqAkgo1x79wl9FXtb7SFMT01B1MXLMvp0O8syX2BuHYB70EJkMwVngQtShj0yTTn6laoRQ3I7StkJQJ9j1b8DiHM7gXNv7dWvL9S_khSF4wWZA9No70BhewiggJ8a8Pa0jTnq4_ppOIsk-qDYVkyJM5QuoSSg
Paper: Multiword Expressions: A Pain in the Neck for NLPhttp://lingo.stanford.edu/pubs/WP-2001-03.pdf
Paper: PyTorch: An Imperative Style, High-Performance Deep Learning Libraryhttps://arxiv.org/pdf/1912.01703.pdf
Paper: ALBERT: A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONShttps://arxiv.org/pdf/1909.11942.pdf
Paper: Self-supervised Visual Feature Learning with Deep Neural Networks: A Surveyhttps://arxiv.org/abs/1902.06162
Paper: A Simple Framework for Contrastive Learning of Visual Representationshttps://arxiv.org/pdf/2002.05709.pdf
Paper: Self-Supervised Learning of Pretext-Invariant Representationshttps://arxiv.org/abs/1912.01991
Paper: FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidencehttps://arxiv.org/abs/2001.07685
Paper: Self-Labelling via Simultaneous Clustering and Representation Learninghttps://www.robots.ox.ac.uk/~vgg/research/self-label/
Paper: A Survey on Contextual Embeddingshttps://arxiv.org/abs/2003.07278v1
Paper: A survey on Semi-, Self- and Unsupervised Techniques in Image Classificationhttps://arxiv.org/abs/2002.08721
Paper: Shortcut Learning in Deep Neural Networkshttps://arxiv.org/abs/2004.07780
Paper: Multi-document Summarization by using TextRank and Maximal Marginal Relevance for Text in Bahasa Indonesiahttps://www.researchgate.net/publication/338940065_Multi-document_Summarization_by_using_TextRank_and_Maximal_Marginal_Relevance_for_Text_in_Bahasa_Indonesia
Paper: Train Once, Test Anywhere: Zero-Shot Learning for Text Classificationhttps://arxiv.org/abs/1712.05972
Whitepaper: Architecting for the Cloud AWS Best Practiceshttps://d1.awsstatic.com/whitepapers/AWS_Cloud_Best_Practices.pdf
Whitepaper: AWS Well-Architected Frameworkhttps://d1.awsstatic.com/whitepapers/architecture/AWS_Well-Architected_Framework.pdf
Whitepaper: AWS Security Best Practiceshttps://d1.awsstatic.com/whitepapers/Security/AWS_Security_Best_Practices.pdf
Whitepaper: Blue/Green Deployments on AWShttps://d1.awsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf
Whitepaper: Microservices on AWShttps://docs.aws.amazon.com/aws-technical-content/latest/microservices-on-aws/microservices-on-aws.pdf
Whitepaper: Optimizing Enterprise Economics with Serverless Architectureshttps://d1.awsstatic.com/whitepapers/optimizing-enterprise-economics-serverless-architectures.pdf
Whitepaper: Practicing Continuous Integration and Continuous Delivery on AWShttps://d1.awsstatic.com/whitepapers/DevOps/practicing-continuous-integration-continuous-delivery-on-AWS.pdf
Whitepaper: Running Containerized Microservices on AWShttps://d1.awsstatic.com/whitepapers/DevOps/running-containerized-microservices-on-aws.pdf
Whitepaper: Serverless Architectures with AWS Lambdahttps://d1.awsstatic.com/whitepapers/serverless-architectures-with-aws-lambda.pdf
https://github.com/CompSci-Learning-Repository/learning#be-able-to-model-problems-mathematically
Book: Basics of Linear Algebra for Machine Learninghttps://machinelearningmastery.com/linear_algebra_for_machine_learning/
Book: Doing Math with Pythonhttps://www.nostarch.com/doingmathwithpython
Datacamp: Foundations of Probability in Pythonhttps://www.datacamp.com/courses/foundations-of-probability-in-python
Datacamp: Statistical Thinking in Python (Part 1)https://www.datacamp.com/courses/statistical-thinking-in-python-part-1
Datacamp: Statistical Thinking in Python (Part 2)https://www.datacamp.com/courses/statistical-thinking-in-python-part-2
Datacamp: Statistical Simulation in Pythonhttps://www.datacamp.com/courses/statistical-simulation-in-python
edX: Essential Statistics for Data Analysis using Excelhttps://www.edx.org/course/essential-statistics-data-analysis-using-microsoft-dat222x-1
Essence of Linear Algebrahttps://www.youtube.com/watch?v=fNk_zzaMoSs&index=1&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Computational Linear Algebra for Codershttps://github.com/fastai/numerical-linear-algebra
Khan Academy: Precalculushttps://www.khanacademy.org/math/precalculus
Khan Academy: Probabilityhttps://www.khanacademy.org/mission/probability
Khan Academy: Differential Calculushttps://www.khanacademy.org/mission/differential-calculus
Khan Academy: Multivariable Calculushttps://www.khanacademy.org/math/multivariable-calculus
Khan Academy: Linear Algebrahttps://www.khanacademy.org/math/linear-algebra
MIT: 18.06 Linear Algebra (Professor Strang): Lec 1,2,3,4,5,6,9,11,14, 15, 16, 17, 21https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
Udacity: Algebra Reviewhttps://www.udacity.com/course/intro-algebra-review--ma004
Udacity: Differential Equations in Actionhttps://www.udacity.com/course/differential-equations-in-action--cs222
Udacity: Eigenvectors and Eigenvalueshttps://www.udacity.com/course/eigenvectors-and-eigenvalues--ud104
Udacity: Linear Algebra Refresherhttps://www.udacity.com/course/linear-algebra-refresher-course--ud953
Udacity: Statisticshttps://www.udacity.com/course/statistics--st095
Udacity: Intro to Descriptive Statisticshttps://www.udacity.com/course/intro-to-descriptive-statistics--ud827
Udacity: Intro to Inferential Statisticshttps://www.udacity.com/course/intro-to-inferential-statistics--ud201
https://github.com/CompSci-Learning-Repository/learning#be-familiar-with-available-models-and-algorithms
AWS: Semantic Segmentation Explainedhttps://www.aws.training/learningobject/video?id=27238
AWS: The Elements of Data Sciencehttps://www.aws.training/learningobject/wbc?id=26598
AWS: Understanding Neural Networkshttps://www.aws.training/learningobject/video?id=27233
Book: Pattern Recognition and Machine Learninghttps://www.goodreads.com/book/show/55881.Pattern_Recognition_and_Machine_Learning
Book: Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligencehttps://www.deeplearningillustrated.com/
CS294-158-SP20 Deep Unsupervised Learning Spring 2020https://sites.google.com/view/berkeley-cs294-158-sp20/home
Coursera: Neural Networks and Deep Learninghttps://www.coursera.org/learn/neural-networks-deep-learning
Datacamp: AI Fundamentalshttps://www.datacamp.com/courses/fundamentals-of-ai
Datacamp: Winning a Kaggle Competition in Pythonhttps://www.datacamp.com/courses/winning-a-kaggle-competition-in-python
Datacamp: Extreme Gradient Boosting with XGBoosthttps://www.datacamp.com/courses/extreme-gradient-boosting-with-xgboost
Datacamp: Introduction to PySparkhttps://www.datacamp.com/courses/introduction-to-pyspark
Datacamp: Building Recommendation Engines with PySparkhttps://www.datacamp.com/courses/recommendation-engines-in-pyspark
Datacamp: Foundations of Predictive Analytics in Python (Part 1)https://www.datacamp.com/courses/foundations-of-predictive-analytics-in-python-part-1
Datacamp: Foundations of Predictive Analytics in Python (Part 2)https://www.datacamp.com/courses/foundations-of-predictive-analytics-in-python-part-2
Datacamp: Ensemble Methods in Pythonhttps://www.datacamp.com/courses/ensemble-methods-in-python
Elements of AIhttps://www.elementsofai.com
edX: Principles of Machine Learninghttps://www.edx.org/course/principles-machine-learning-microsoft-dat203-2x-5
edX: Data Science Essentialshttps://www.edx.org/course/data-science-essentials-microsoft-dat203-1x-5
edX: Principles of Machine Learninghttps://www.edx.org/course/principles-machine-learning-microsoft-dat203-2x-5
edX: Implementing Predictive Analytics with Spark in Azure HDInsighthttps://www.edx.org/course/implementing-predictive-analytics-spark-microsoft-dat202-3x-2
Google: Launching into Machine Learninghttps://www.coursera.org/learn/launching-machine-learning
Grokking Deep Learninghttps://www.manning.com/books/grokking-deep-learning
How Deep Neural Networks workhttps://www.youtube.com/watch?v=ILsA4nyG7I0&index=3&list=PLVZqlMpoM6kbaeySxhdtgQPFEC5nV7Faa&t=0s
How CNN workshttps://www.youtube.com/watch?v=FmpDIaiMIeA&index=4&list=PLVZqlMpoM6kbaeySxhdtgQPFEC5nV7Faa&t=0s
Jason Machine Learning 101 Slideshttps://docs.google.com/presentation/d/1kSuQyW5DTnkVaZEjGYCkfOxvzCqGEFzWBy4e9Uedd9k/mobilepresent?slide=id.g168a3288f7_0_58
Make Your Own Neural Networkhttps://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G
MIT: 6.S191: Introduction to Deep Learninghttp://introtodeeplearning.com/#schedule
Pluralsight: Understanding Algorithms for Recommendation Systemshttps://www.pluralsight.com/courses/algorithms-recommendation-systems
Pluralsight: Deep Learning: The Big Picturehttps://www.pluralsight.com/courses/deep-learning-big-picture
Udacity: A Friendly Introduction to Machine Learninghttps://www.youtube.com/playlist?list=PLAwxTw4SYaPknYBrOQx6UCyq67kprqXe3
Udacity: Intro to Data Analysishttps://www.udacity.com/course/intro-to-data-analysis--ud170
Udacity: Intro to Data Sciencehttps://www.udacity.com/course/intro-to-data-science--ud359
Udacity: Intro to Machine Learninghttps://www.udacity.com/course/intro-to-machine-learning--ud120
Udacity: Reinforcement Learninghttps://www.udacity.com/course/reinforcement-learning--ud600
Udacity: Deep Learninghttps://www.udacity.com/course/deep-learning--ud730
Udacity: Intro to Artificial Intelligencehttps://www.udacity.com/course/intro-to-artificial-intelligence--cs271
Udacity: Classification Modelshttps://www.udacity.com/course/classification-models--ud978
https://github.com/CompSci-Learning-Repository/learning#be-able-to-structure-machine-learning-projects
Coursera: Structuring Machine Learning Projectshttps://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning
Datacamp: Conda Essentialshttps://www.datacamp.com/courses/conda-essentials
Datacamp: Conda for Building & Distributing Packageshttps://www.datacamp.com/courses/conda-for-building-distributing-packages
Datacamp: Creating Robust Python Workflowshttps://www.datacamp.com/courses/creating-robust-python-workflows
Datacamp: Software Engineering for Data Scientists in Pythonhttps://www.datacamp.com/courses/software-engineering-for-data-scientists-in-python
Datacamp: Designing Machine Learning Workflows in Pythonhttps://www.datacamp.com/courses/designing-machine-learning-workflows-in-python
Datacamp: Object-Oriented Programming in Pythonhttps://www.datacamp.com/courses/object-oriented-programming-in-python
Datacamp: Command Line Automation in Pythonhttps://www.datacamp.com/courses/command-line-automation-in-python
Datacamp: Introduction to Data Engineeringhttps://www.datacamp.com/courses/introduction-to-data-engineering
Datacamp: Experimental Design in Pythonhttps://www.datacamp.com/courses/experimental-design-in-python
Full Stack Deep Learning Bootcamp: March 2019https://fullstackdeeplearning.com/march2019
MIT: The Missing Semester of CS Educationhttps://missing.csail.mit.edu/
Treehouse: Object Oriented Pythonhttps://teamtreehouse.com/library/objectoriented-python-2
Treehouse: Setup Local Python Environmenthttps://teamtreehouse.com/library/setting-up-a-local-python-environment-windows
Udacity: Writing READMEshttps://www.udacity.com/course/writing-readmes--ud777
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-computer-vision-models
Book: Deep Learning for Computer Vision with Pythonhttps://www.pyimagesearch.com/deep-learning-computer-vision-python-book/
Book: Practical Python and OpenCVhttps://www.pyimagesearch.com/practical-python-opencv/
Coursera: Convolutional Neural Networkshttps://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning
Datacamp: Biomedical Image Analysis in Pythonhttps://www.datacamp.com/courses/biomedical-image-analysis-in-python
Datacamp: Image Processing in Pythonhttps://www.datacamp.com/courses/image-processing-in-python
Google: ML Practicum: Image Classificationhttps://developers.google.com/machine-learning/practica/image-classification
Udacity: Introduction to Computer Visionhttps://www.udacity.com/course/introduction-to-computer-vision--ud810
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-nlunlp-models
A friendly introduction to Recurrent Neural Networkshttps://www.youtube.com/watch?v=UNmqTiOnRfg
Coursera: Sequence Modelshttps://www.coursera.org/learn/nlp-sequence-models
Coursera: Natural Language Processing in TensorFlowhttps://www.coursera.org/learn/natural-language-processing-tensorflow
Datacamp: Advanced NLP with spaCyhttps://www.datacamp.com/courses/advanced-nlp-with-spacy
Datacamp: Building Chatbots in Pythonhttps://www.datacamp.com/courses/building-chatbots-in-python
Datacamp: Clustering Methods with SciPyhttps://www.datacamp.com/courses/clustering-methods-with-scipy
Datacamp: Feature Engineering for NLP in Pythonhttps://www.datacamp.com/courses/feature-engineering-for-nlp-in-python
Datacamp: Machine Translation in Pythonhttps://www.datacamp.com/courses/machine-translation-in-python
Datacamp: Natural Language Processing Fundamentals in Pythonhttps://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python
Datacamp: Natural Language Generation in Pythonhttps://www.datacamp.com/courses/natural-language-generation-in-python
Datacamp: RNN for Language Modelinghttps://www.datacamp.com/courses/recurrent-neural-networks-for-language-modeling-in-python
Datacamp: Regular Expressions in Pythonhttps://www.datacamp.com/courses/regular-expressions-in-python
Datacamp: Sentiment Analysis in Pythonhttps://www.datacamp.com/courses/sentiment-analysis-in-python
Datacamp: Spoken Language Processing in Pythonhttps://www.datacamp.com/courses/spoken-language-processing-in-python
fast.ai Code-First Intro to Natural Language Processinghttps://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9
RNN and LSTMhttps://www.youtube.com/watch?v=WCUNPb-5EYI&index=2&list=PLVZqlMpoM6kbaeySxhdtgQPFEC5nV7Faa&t=0s
Spacy Tutorialhttps://www.youtube.com/watch?v=cgwDB1THUBY&list=PLJ39kWiJXSiz1LK8d_fyxb7FTn4mBYOsD
Stanford CS224U: Natural Language Understanding | Spring 2019https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20
TextBlob Tutorial Serieshttps://www.youtube.com/watch?v=4k2cqUIjb8g&list=PLJ39kWiJXSizrWpC7hcu1_mLNxEPzN0gF
Treehouse: Regular expressionhttps://teamtreehouse.com/library/regular-expressions-in-python
Youtube: BERT Research Serieshttps://www.youtube.com/playlist?list=PLam9sigHPGwOBuH4_4fr-XvDbe5uneaf6
https://github.com/CompSci-Learning-Repository/learning#be-able-to-model-graphs-and-network-data
Datacamp: Network Analysis in Python (Part 1)https://www.datacamp.com/courses/network-analysis-in-python-part-1
Datacamp: Network Analysis in Python (Part 2)https://www.datacamp.com/courses/network-analysis-in-python-part-2
https://github.com/CompSci-Learning-Repository/learning#be-able-to-apply-unsupervised-learning-algorithms
Google: Clusteringhttps://developers.google.com/machine-learning/clustering
Google: Recommendation Systemshttps://developers.google.com/machine-learning/recommendation
Udacity: Segmentation and Clusteringhttps://www.udacity.com/course/segmentation-and-clustering--ud981
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-models-for-timeseries-and-forecasting
Datacamp: Machine Learning for Finance in Pythonhttps://www.datacamp.com/courses/machine-learning-for-finance-in-python
Datacamp: Introduction to Time Series Analysis in Pythonhttps://www.datacamp.com/courses/introduction-to-time-series-analysis-in-python
Datacamp: Machine Learning for Time Series Data in Pythonhttps://www.datacamp.com/courses/machine-learning-for-time-series-data-in-python
Datacamp: Intro to Portfolio Risk Management in Pythonhttps://www.datacamp.com/courses/intro-to-portfolio-risk-management-in-python
Datacamp: Financial Forecasting in Pythonhttps://www.datacamp.com/courses/financial-forecasting-in-python
Datacamp: Predicting CTR with Machine Learning in Pythonhttps://www.datacamp.com/courses/predicting-ctr-with-machine-learning-in-python
Datacamp: Intro to Financial Concepts using Pythonhttps://www.datacamp.com/courses/intro-to-financial-concepts-using-python
Datacamp: Fraud Detection in Pythonhttps://www.datacamp.com/courses/fraud-detection-in-python
Datacamp: Forecasting Using ARIMA Models in Pythonhttps://www.datacamp.com/courses/forecasting-using-arima-models-in-python
Datacamp: Introduction to Portfolio Analysis in Pythonhttps://www.datacamp.com/courses/introduction-to-portfolio-analysis-in-python
Datacamp: Credit Risk Modeling in Pythonhttps://www.datacamp.com/courses/credit-risk-modeling-in-python
Datacamp: Machine Learning for Marketing in Pythonhttps://www.datacamp.com/courses/machine-learning-for-marketing-in-python
Udacity: Machine Learning for Tradinghttps://www.udacity.com/course/machine-learning-for-trading--ud501
Udacity: Time Series Forecastinghttps://www.udacity.com/course/time-series-forecasting--ud980
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-ml-models-with-scikit-learn
Datacamp: Supervised Learning with scikit-learnhttps://www.datacamp.com/courses/supervised-learning-with-scikit-learn
Datacamp: Unsupervised Learning in Pythonhttps://www.datacamp.com/courses/unsupervised-learning-in-python
Datacamp: Machine Learning with Tree-Based Models in Pythonhttps://www.datacamp.com/courses/machine-learning-with-tree-based-models-in-python
Datacamp: Introduction to Linear Modeling in Pythonhttps://www.datacamp.com/courses/introduction-to-linear-modeling-in-python
Datacamp: Linear Classifiers in Pythonhttps://www.datacamp.com/courses/linear-classifiers-in-python
Datacamp: Generalized Linear Models in Pythonhttps://www.datacamp.com/courses/generalized-linear-models-in-python
Pluralsight: Building Machine Learning Models in Python with scikit-learnhttps://www.pluralsight.com/courses/python-scikit-learn-building-machine-learning-models
Youtube: Applied Machine Learning 2020https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-neural-networks-in-tensorflow-and-keras
Coursera: Introduction to Tensorflowhttps://www.coursera.org/learn/introduction-tensorflow
Coursera: Convolutional Neural Networks in TensorFlowhttps://www.coursera.org/learn/convolutional-neural-networks-tensorflow
Coursera: Getting Started With Tensorflow 2https://www.coursera.org/learn/getting-started-with-tensor-flow2
Coursera: Customising your models with TensorFlow 2https://www.coursera.org/learn/customising-models-tensorflow2
Deeplizard: Keras - Python Deep Learning Neural Network APIhttps://www.youtube.com/playlist?list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL
Deep Learning with Pythonhttps://www.manning.com/books/deep-learning-with-python
Datacamp: Deep Learning in Pythonhttps://www.datacamp.com/courses/deep-learning-in-python
Datacamp: Convolutional Neural Networks for Image Processinghttps://www.datacamp.com/courses/convolutional-neural-networks-for-image-processing
Datacamp: Introduction to TensorFlow in Pythonhttps://www.datacamp.com/courses/introduction-to-tensorflow-in-python
Datacamp: Introduction to Deep Learning with Kerashttps://www.datacamp.com/courses/deep-learning-with-keras-in-python
Datacamp: Advanced Deep Learning with Kerashttps://www.datacamp.com/courses/advanced-deep-learning-with-keras-in-python
Google: Keras Bloghttps://medium.com/tensorflow/tagged/keras
Google: Intro to Tensorflowhttps://www.coursera.org/learn/intro-tensorflow
Google: Machine Learning Crash Coursehttps://developers.google.com/machine-learning/crash-course/
Pluralsight: Deep Learning with Kerashttps://www.pluralsight.com/courses/keras-deep-learning
Udacity: Intro to TensorFlow for Deep Learninghttps://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-models-in-pytorch
Datacamp: Introduction to Deep Learning with PyTorchhttps://www.datacamp.com/courses/deep-learning-with-pytorch
Deeplizard: Neural Network Programming - Deep Learning with PyTorchhttps://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG
Udacity: Intro to Deep Learning with PyTorchhttps://www.udacity.com/course/deep-learning-pytorch--ud188
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-edge-inference
Deeplizard: TensorFlow.js serieshttps://www.youtube.com/watch?v=HEQDRWMK6yY&list=PLZbbT5o_s2xr83l8w44N_g3pygvajLrJ-
https://github.com/CompSci-Learning-Repository/learning#be-able-to-use-managed-ml-services-on-the-cloud
AWS: Amazon Transcribe Deep Dive: Using Feedback Loops to Improve Confidence Level of Transcriptionhttps://www.aws.training/learningobject/video?id=27495
AWS: Build a Text Classification Model with AWS Glue and Amazon SageMakerhttps://www.aws.training/learningobject/video?id=27225
AWS: Deep Dive on Amazon Rekognition: Building Computer Visions Based Smart Applicationshttps://www.aws.training/learningobject/video?id=27230
AWS: Hands-on Rekognition: Automated Video Editinghttps://www.aws.training/learningobject/video?id=27229
AWS: Introduction to Amazon Comprehendhttps://www.aws.training/learningobject/video?id=16626
AWS: Introduction to Amazon Comprehend Medicalhttps://www.aws.training/learningobject/video?id=27159
AWS: Introduction to Amazon Elastic Inferencehttps://www.aws.training/learningobject/video?id=27172
AWS: Introduction to Amazon Forecasthttps://www.aws.training/learningobject/video?id=27163
AWS: Introduction to Amazon Lexhttps://www.aws.training/learningobject/video?id=16516
AWS: Introduction to Amazon Personalizehttps://www.aws.training/learningobject/video?id=27158
AWS: Introduction to Amazon Pollyhttps://www.aws.training/learningobject/video?id=15886
AWS: Introduction to Amazon SageMaker Ground Truthhttps://www.aws.training/learningobject/video?id=27162
AWS: Introduction to Amazon SageMaker Neohttps://www.aws.training/learningobject/video?id=27160
AWS: Introduction to Amazon Transcribehttps://www.aws.training/learningobject/video?id=19443
AWS: Introduction to Amazon Translatehttps://www.aws.training/learningobject/video?id=19442
AWS: Introduction to AWS Marketplace - Machine Learning Categoryhttps://www.aws.training/learningobject/video?id=27165
AWS: Machine Learning Exam Basicshttps://www.aws.training/learningobject/curriculum?id=27271
AWS: Neural Machine Translation with Sockeyehttps://www.aws.training/learningobject/video?id=27236
AWS: Process Model: CRISP-DM on the AWS Stackhttps://www.aws.training/learningobject/wbc?id=27200
AWS: Satellite Image Classification in SageMakerhttps://www.aws.training/learningobject/video?id=27231
edX: Amazon SageMaker: Simplifying Machine Learning Application Developmenthttps://www.edx.org/course/simplifying-machine-learning-app-development-with-amazon-sagemaker
https://github.com/CompSci-Learning-Repository/learning#be-able-to-optimize-model-performance
Coursera: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimizationhttps://www.coursera.org/learn/deep-neural-network?specialization=deep-learning
Datacamp: Model Validation in Pythonhttps://www.datacamp.com/courses/model-validation-in-python
Datacamp: Hyperparameter Tuning in Pythonhttps://www.datacamp.com/courses/hyperparameter-tuning-in-python
Google: Testing and Debugginghttps://developers.google.com/machine-learning/testing-debugging
Troubleshooting Deep Neural Networkshttp://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf
https://github.com/CompSci-Learning-Repository/learning#be-able-to-serve-and-scale-ml-models
Acloudguru: AWS Certified Machine Learning - Specialtyhttps://acloud.guru/learn/aws-certified-machine-learning-specialty
Acloudguru: AWS Certified Developer - Associatehttps://acloud.guru/learn/aws-certified-developer-associate-june-2018
Acloudguru: AWS Certification Preparation Guidehttps://acloud.guru/learn/aws-certification-preparation
AWS: Exam Readiness: AWS Certified Developer – Associatehttps://www.aws.training/training/schedule?courseId=18953
AWS: Thirty Serverless Architectures in 30 Minuteshttps://www.youtube.com/watch?v=xJcm9V2jagc
Codecademy: Deploy a Websitehttps://www.codecademy.com/learn/deploy-a-website
Datacamp: Parallel Computing with Daskhttps://www.datacamp.com/courses/parallel-computing-with-dask
Pluralsight: Hands-on Ansiblehttps://www.pluralsight.com/courses/hands-on-ansible
Pluralsight: Docker and Containers: The Big Picturehttps://www.pluralsight.com/courses/docker-containers-big-picture
Pluralsight: Docker and Kubernetes: The Big Picturehttps://www.pluralsight.com/courses/docker-kubernetes-big-picture
Pluralsight: AWS Developer: The Big Picturehttps://www.pluralsight.com/courses/aws-developer-big-picture
Pluralsight: AWS Networking Deep Dive: Virtual Private Cloud (VPC)https://www.pluralsight.com/courses/aws-networking-deep-dive-vpc
Pluralsight: AWS VPC Operationshttps://www.pluralsight.com/courses/aws-vpc-operations
Pluralsight: Building Applications Using Elastic Beanstalkhttps://www.pluralsight.com/courses/elastic-beanstalk-building-applications
Servers for Hackers Serieshttps://serversforhackers.com/
The Hacker's Guide to Scaling Pythonhttps://scaling-python.com/
Udacity: HTTP & Web Servershttps://www.udacity.com/course/http-web-servers--ud303
Udacity: Intro to DevOpshttps://www.udacity.com/course/intro-to-devops--ud611
Udacity: Deploying Applications with Herokuhttps://www.udacity.com/course/deploying-applications-with-heroku--ud272
Udacity: Developing Scalable Apps in Pythonhttps://www.udacity.com/course/developing-scalable-apps-in-python--ud858
Udacity: Configuring Linux Web Servershttps://www.udacity.com/course/configuring-linux-web-servers--ud299
Udacity: Scalable Microservices with Kuberneteshttps://www.udacity.com/course/scalable-microservices-with-kubernetes--ud615
Udacity: Intro to Hadoop and MapReducehttps://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617
Udemy: AWS Conceptshttps://www.udemy.com/aws-concepts
Udemy: Serverless Conceptshttps://www.udemy.com/serverless-concepts/
Udemy: AWS Certified Developer - Associate 2018https://www.udemy.com/aws-certified-developer-associate/
https://github.com/CompSci-Learning-Repository/learning#be-able-to-perform-ab-test
Datacamp: Customer Analytics & A/B Testing in Pythonhttps://www.datacamp.com/courses/customer-analytics-ab-testing-in-python
Udacity: A/B Testinghttps://www.udacity.com/course/ab-testing--ud257
Udacity: A/B Testing for Business Analystshttps://www.udacity.com/course/ab-testing--ud979
https://github.com/CompSci-Learning-Repository/learning#be-able-to-write-unit-tests
Datacamp: Unit Testing for Data Science in Pythonhttps://www.datacamp.com/courses/unit-testing-for-data-science-in-python
Pluralsight: Test-driven Development: The Big Picturehttps://www.pluralsight.com/courses/test-driven-development-big-picture
Test Driven Development with Pythonhttp://chimera.labs.oreilly.com/books/1234000000754/index.html
Thoughtbot: Fundamentals of TDDhttps://thoughtbot.com/upcase/fundamentals-of-tdd
Treehouse: Python Testinghttps://teamtreehouse.com/library/python-testing
Udacity: Software Analysis & Testinghttps://www.udacity.com/course/software-analysis-testing--ud333
Udacity: Software Testinghttps://www.udacity.com/course/software-testing--cs258
Udacity: Software Debugginghttps://www.udacity.com/course/software-debugging--cs259
https://github.com/CompSci-Learning-Repository/learning#be-proficient-in-python
Book: A Byte of Pythonhttps://python.swaroopch.com
Book: Automate the boring stuff with pythonhttps://www.youtube.com/playlist?list=PL0-84-yl1fUnRuXGFe_F7qSH1LEnn9LkW
Book: Dive into Python 3http://www.diveintopython3.net/
Book: Learn Python The Hard wayhttps://learnpythonthehardway.org
Book: Python 201https://leanpub.com/python201
Book: Python Anti-Patternshttps://docs.quantifiedcode.com/python-anti-patterns/index.html
Book: Real Pythonhttps://www.goodreads.com/book/show/20750754-real-python
Book: The Python 3 Standard Library By Examplehttps://doughellmann.com/blog/the-python-3-standard-library-by-example
Codecademy: Learn Pythonhttps://www.codecademy.com/learn/learn-python
Cognitiveclass.ai: Python for Data Sciencehttps://cognitiveclass.ai/courses/python-for-data-science
Datacamp: Python for R Usershttps://www.datacamp.com/courses/python-for-r-users
Datacamp: Python for Spreadsheet Usershttps://www.datacamp.com/courses/python-for-spreadsheet-users
Datacamp: Python for MATLAB Usershttps://www.datacamp.com/courses/python-for-matlab-users
Datacamp: Importing Data in Python (Part 1)https://www.datacamp.com/courses/importing-data-in-python-part-1
Datacamp: Intermediate Python for Data Sciencehttps://www.datacamp.com/courses/intermediate-python-for-data-science
Datacamp: Python Data Science Toolbox (Part 1)https://www.datacamp.com/courses/python-data-science-toolbox-part-1
Datacamp: Python Data Science Toolbox (Part 2)https://www.datacamp.com/courses/python-data-science-toolbox-part-2
Datacamp: Intro to Python for Financehttps://www.datacamp.com/courses/intro-to-python-for-finance
Datacamp: Writing Efficient Python Codehttps://www.datacamp.com/courses/writing-efficient-python-code
Datacamp: Writing Functions in Pythonhttps://www.datacamp.com/courses/writing-functions-in-python
Datacamp: Working with Dates and Times in Pythonhttps://www.datacamp.com/courses/working-with-dates-and-times-in-python
edX: Introduction to Python for Data Sciencehttps://www.edx.org/course/introduction-python-data-science-microsoft-dat208x-7
edX: Programming with Python for Data Sciencehttps://www.edx.org/course/programming-python-data-science-microsoft-dat210x-5
Google's Python Classhttps://developers.google.com/edu/python/
Treehouse: Python Basicshttps://teamtreehouse.com/library/python-basics
Treehouse: Python collectionshttps://teamtreehouse.com/library/python-collections-2
Treehouse: Date and Timehttps://teamtreehouse.com/library/dates-and-times-in-python
Treehouse: CSV And JSONhttps://teamtreehouse.com/library/csv-and-json-in-python
Treehouse: Functional Programming with Pythonhttps://teamtreehouse.com/library/functional-python
Treehouse: Python Decoratorshttps://teamtreehouse.com/library/python-decorators
Treehouse: Write Better Pythonhttps://teamtreehouse.com/library/write-better-python
Thoughtbot: Regular Expressionshttps://thoughtbot.com/upcase/regular-expressions
TheNewBoston: Python Programming Tutorialshttps://www.youtube.com/watch?v=4Mf0h3HphEA&list=PLEA1FEF17E1E5C0DA
Udacity: Introduction to Python Programminghttps://www.udacity.com/course/introduction-to-python--ud1110
Udacity: Programming Foundations with Pythonhttps://www.udacity.com/course/programming-foundations-with-python--ud036
Udacity: What is Programming?https://www.udacity.com/course/what-is-programming--ud994
Writing Idiomatic Python 3https://www.amazon.com/Writing-Idiomatic-Python-Jeff-Knupp-ebook/dp/B00B5VXMRG
https://github.com/CompSci-Learning-Repository/learning#be-familiar-with-compiled-languages
Codecademy: Learn Javahttps://www.codecademy.com/learn/learn-java
Udacity: C++ For Programmershttps://www.udacity.com/course/c-for-programmers--ud210
Udacity: Java Programming Basicshttps://www.udacity.com/course/java-programming-basics--ud282
https://github.com/CompSci-Learning-Repository/learning#be-able-to-utilize-version-control
Codecademy: Learn Githttps://www.codecademy.com/learn/learn-git
Code School: Git Realhttps://www.pluralsight.com/courses/code-school-git-real
Datacamp: Introduction to Git for Data Sciencehttps://www.datacamp.com/courses/introduction-to-git-for-data-science
Learn enough git to be dangeroushttp://learnenough.com/git-tutorial
Thoughtbot: Mastering Githttps://thoughtbot.com/upcase/mastering-git
Treehouse: Git Basicshttps://teamtreehouse.com/library/git-basics
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Udacity: How to Use Git and GitHubhttps://www.udacity.com/course/how-to-use-git-and-github--ud775
Udacity: Version Control with Githttps://www.udacity.com/course/version-control-with-git--ud123
https://github.com/CompSci-Learning-Repository/learning#be-able-to-implement-services-and-apis
Book: Hello Web Apphttps://hellowebapp.com/tutorial/intro/
Book: Two scoops of Djangohttps://www.twoscoopspress.com/products/two-scoops-of-django-1-11
Book: Refactoring UIhttps://refactoringui.com/book/
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Codecademy: Learn HTMLhttps://www.codecademy.com/learn/learn-html
Codecademy: Learn Color Designhttps://www.codecademy.com/learn/learn-color-design
Codecademy: Learn SASShttps://www.codecademy.com/learn/learn-sass
Codecademy: Make a websitehttps://www.codecademy.com/en/courses/make-a-website
Codecademy: Learn ReactJS: Part Ihttps://www.codecademy.com/learn/react-101
Codecademy: Learn ReactJS: Part IIhttps://www.codecademy.com/learn/react-102
Codecademy: Learn JavaScripthttps://www.codecademy.com/learn/learn-javascript
Codecademy: Jquery Trackhttps://www.codecademy.com/learn/learn-jquery
Codecademy: Learn Rubyhttps://www.codecademy.com/learn/learn-ruby
Code School: Fundamentals of Designhttps://www.pluralsight.com/courses/code-school-fundamentals-of-design
Code School: Blasting Off with Bootstraphttps://www.pluralsight.com/courses/code-school-blasting-off-with-bootstrap
Django Best Practiceshttp://slides.com/sudipkafle/django-best-practices
(ES6) - Beau teaches JavaScripthttps://www.youtube.com/watch?v=1mgLWu69ijU&list=PLWKjhJtqVAbljtmmeS0c-CEl2LdE-eR_F
Launch School: Introduction to HTTPhttps://launchschool.com/books/http
Pluralsight: UX Fundamentalshttps://www.pluralsight.com/courses/ux-fundamentals-2426
Pluralsight: HTML, CSS, and JavaScript: The Big Picturehttps://app.pluralsight.com/library/courses/html-css-javascript-big-picture
Pluralsight: CSS Positioninghttps://www.pluralsight.com/courses/css-positioning-1834
Pluralsight: Introduction to CSShttps://www.pluralsight.com/courses/css-intro
Pluralsight: CSS: Specificity, the Box Model, and Best Practiceshttps://app.pluralsight.com/interactive-courses/detail/c580b092-d94a-4ed8-8d2a-2f4d0b76f99f
Pluralsight: CSS: Using Flexbox for Layouthttps://app.pluralsight.com/interactive-courses/detail/a089d0a5-4a4c-4c4e-b883-c1bc64009619
Pluralsight: Using The Chrome Developer Toolshttps://www.pluralsight.com/courses/chrome-developer-tools
Thoughtbot: Design for Developershttps://thoughtbot.com/upcase/design-for-developers
Treehouse: Django Basicshttps://teamtreehouse.com/library/Django-basics
Treehouse: Customizing Django Templateshttps://teamtreehouse.com/library/customizing-django-templates
Treehouse: HTMLhttps://teamtreehouse.com/library/html
Treehouse: Javascript Booleanshttps://teamtreehouse.com/library/javascript-booleans
Udacity: Authentication & Authorization: OAuthhttps://www.udacity.com/course/authentication-authorization-oauth--ud330
Udacity: Designing RESTful APIshttps://www.udacity.com/course/designing-restful-apis--ud388
Udacity: Client-Server Communicationhttps://www.udacity.com/course/client-server-communication--ud897
Udacity: ES6 - JavaScript Improvedhttps://www.udacity.com/course/es6-javascript-improved--ud356
Udacity: Intro to Javascripthttps://www.udacity.com/course/intro-to-javascript--ud803
Udacity: Object Oriented JS 1https://www.udacity.com/course/object-oriented-javascript--ud015
Udacity: Object Oriented JS 2https://www.udacity.com/course/object-oriented-javascript--ud711
Udemy: Understanding Typescripthttps://www.udemy.com/understanding-typescript/
https://github.com/CompSci-Learning-Repository/learning#be-familiar-with-fundamental-computer-science-concepts
Codecademy: Big Ohttps://www.codecademy.com/courses/big-o/0/1
Crashcourse: Computer Sciencehttps://www.youtube.com/playlist?list=PL8dPuuaLjXtNlUrzyH5r6jN9ulIgZBpdo
Grokking Algorithmshttps://www.manning.com/books/grokking-algorithms
Khan Academy: Data Structureshttps://www.khanacademy.org/computing/computer-science/algorithms
Tech Interview Handbookhttps://github.com/yangshun/tech-interview-handbook
Udacity: Computer Networkinghttps://www.udacity.com/course/computer-networking--ud436
Udacity: Intro to Algorithmshttps://www.udacity.com/course/intro-to-algorithms--cs215
Udacity: Intro to Computer Sciencehttps://www.udacity.com/course/intro-to-computer-science--cs101
Udacity: Intro to Operating Systemshttps://www.udacity.com/course/introduction-to-operating-systems--ud923
Udacity: Intro to Theoretical Computer Sciencehttps://www.udacity.com/courses/cs313
Udacity: Programming Languageshttps://www.udacity.com/course/programming-languages--cs262
Udacity: Networking for Web Developershttps://www.udacity.com/course/networking-for-web-developers--ud256
https://github.com/CompSci-Learning-Repository/learning#be-able-to-aply-proper-software-engineering-process
Launch School: Agile Planninghttps://launchschool.com/books/agile_planning
Pluralsight: Product Owner Fundamentalshttps://www.pluralsight.com/courses/product-owner-fundamentals-foundations
Pluralsight: Scrum Master Fundamentals - Foundationshttps://www.pluralsight.com/courses/scrum-master-fundamentals-foundations
Pluralsight: Security Awareness: Basic Concepts and Terminologyhttps://app.pluralsight.com/library/courses/security-awareness-basic-concepts-terminology
Pluralsight: Secure Software Developmenthttps://www.pluralsight.com/courses/software-development-secure
Pluralsight: Clean Architecture: Patterns, Practices, and Principleshttps://www.pluralsight.com/courses/clean-architecture-patterns-practices-principles
Thoughtbot: Software Development Processhttps://thoughtbot.com/upcase/the-playbook-video-edition
Thoughtbot: Refactoringhttps://thoughtbot.com/upcase/refactoring
Udacity: Design of Computer Programshttps://www.udacity.com/course/design-of-computer-programs--cs212
Udacity: Product Designhttps://www.udacity.com/course/product-design--ud509
Udacity: Rapid Prototypinghttps://www.udacity.com/course/rapid-prototyping--ud723
Udacity: Software Architecture and Designhttps://www.udacity.com/course/software-architecture-design--ud821
Udacity: Software Development Processhttps://www.udacity.com/course/software-development-process--ud805
Udacity: Full Stack Foundationshttps://www.udacity.com/course/full-stack-foundations--ud088
https://github.com/CompSci-Learning-Repository/learning#be-able-to-efficiently-use-a-text-editor
Learn Enough Text Editor to Be Dangeroushttps://www.learnenough.com/text-editor-tutorial
Mastering Pycharmhttps://www.amazon.com/Mastering-PyCharm-Quazi-Nafiul-Islam-ebook/dp/B00YSIKR3A
https://github.com/CompSci-Learning-Repository/learning#be-able-to-communicate-insights
Google: Technical Writinghttps://developers.google.com/tech-writing
https://github.com/CompSci-Learning-Repository/learning#be-familiar-with-the-hiring-pipeline
Datacamp: Preparing for Statistics Interview Questions in Pythonhttps://www.datacamp.com/courses/preparing-for-statistics-interview-questions-in-python
Datacamp: Preparing for Coding Interview Questions in Pythonhttps://www.datacamp.com/courses/preparing-for-coding-interview-questions-in-python
Udacity: Optimize your GitHubhttps://www.udacity.com/course/optimize-your-github--ud247
Udacity: Strengthen Your LinkedIn Network & Brandhttps://eu.udacity.com/course/strengthen-your-linkedin-network-and-brand--ud242
Udacity: Data Science Interview Prephttps://www.udacity.com/course/data-science-interview-prep--ud944
Udacity: Full-Stack Interview Prephttps://www.udacity.com/course/full-stack-interview-prep--ud252
Udacity: Front-End Interview Prephttps://www.udacity.com/course/front-end-interview-prep--ud250
Udacity: Refresh Your Resumehttps://www.udacity.com/course/refresh-your-resume--ud243
Udacity: Craft Your Cover Letterhttps://www.udacity.com/course/craft-your-cover-letter--ud244
Udacity: Technical Interviewhttps://www.udacity.com/course/technical-interview--ud513
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