Data Science & Developer Roadmaps with Chat & Free Learning Resources

New learning resources

Asking for Feedback as a Data Scientist Individual Contributor

 Towards Data Science

Asking for feedback can be difficult, or even intimidating. There are so many factors that could influence how you ask for feedback: company culture, personal fears, an uninvolved manager, past feedba...

Read more at Towards Data Science | Find similar documents

Calibrating Classification Probabilities the Right Way

 Towards Data Science

In previous articles, I pointed out the importance of knowing how sure a model is about its predictions. Uncertainty Quantification and Why You Should Care How to improve your ML model with three line...

Read more at Towards Data Science | Find similar documents

Unlocking Business Potential Through Effective Customer Segmentation

 Towards Data Science

In the previous article , we explored how key performance indicators (KPIs) help track business growth, and highlighted that to truly understand your user base, it’s essential to dive deeper into a cr...

Read more at Towards Data Science | Find similar documents

Learn Python

▶️ Basic Functions
Syntax | Variables | Conditions | Data Types | Numbers | Strings | Formatting | Operators | Generators | Decorators | Functions | Lists | Tuples | Sets | Dictionaries | Parameters | Arguments | Arrays | Linked Lists | Hash Tables | Binary Search Trees | Recursion | Sorting Algorithms | Exception Handling | Serialization 

🚀 Advanced Functions
RegEx | Decorators | Lambdas | Iterators | Classes | Inheritance | Methods | List Comprehensions | Generator Expressions | PyPi | PIP | Conda

💠 Frameworks
Django | Flask | CherryPy | Bottle | Dash | | PyTest | Scrapy | PyScript

🗂 Libraries
TensorFlow | Scikit-Learn | Numpy | Keras | PyTorch | SciPy | Pandas | Theano | Seaborn | OpenCV | Bokeh | Matplotlib | Plotly | BeautifulSoup | SymPy | Pillow

🧰 Other Tools
Selenium | PyCharm | PyTest | Jupyter Notebook | FakerPyGame | Tkinter 

 

Learn Data Science

▶️ Basics
Linear Algebra | Databases | Tabular Data | Time Series | Extract, Transform, Load | Data Formats | Regular Expressions | Important libraries |

💻 Programming languages for Data Science
SQL | R | Python

🐍 Python for Data Science
Syntax | Variables | Data Types | Functions | Numbers | Operators | Important libraries

🔁 Data Sources
Data Mining | Web scraping | Public Data Sets

📊 Exploratory Data Analysis
Principal Component Analysis | Dimensionality Reduction | Normalization | Data Cleaning | Estimators | Feature Extraction | Sampling

🔢 Statistics
Probability Theory | Continuous Distribution | Summary Statistics | Estimation | Hypothesis Testing | Confidence Interval | Monte Carlo Methods

📈 Data Visualization + tools
Storytelling | Charts | Dashboards | Power BI | Tableau | R | Dash | Seaborn | Matplotlib | Bokeh | Plotly

 

Learn Machine Learning

Learn Deep Learning