Here are some resources that can help you get started!

Beginners Guide To Data and Analytics »

The Difference Between Data, Analytics, and Insights »

Understanding Data Science and Why It's So Important »

What's the Difference Between a Data Analyst, Scientist and Engineer? »

Getting Started in Progressive Analytics »

How do I Become a Data Scientist? »

How To Break into the Data Science Market »

How to Actually Learn Data Science »

The SQL Tutorial for Data Analysis »

Database Programming Tutorial »

What is Object-Oriented Programming? »

Setup a Data Science Environment on your Personal Computer »

How to Think Like a Computer Scientist: Learning with Python »

15 Python Libraries for Data Science »

Cleaning Dirty Data with Pandas & Python »

Python Syntax Essentials and Best Practices »

Jupyter Notebook for Beginners: A Tutorial »

Data Analysis with Python and Pandas using Jupyter Notebook »

Advanced Jupyter Notebooks: A Tutorial »

Top 10 R Packages for Data Science »

Introducing GitHub Learning Lab »

Automating the Boring Stuff with Python, Pandas, and SQL »

Reading and Writing to Google Spreadsheets using Python »

Probability and Statistics for Data Science »

Essential Statistics for Data Science: A Case Study using Python, Part I »

A Visual Introduction to Probability and Statistics »

A Simple Framework for Building Predictive Models »

7 Practical Guidelines for Accurate Statistical Model Building »

Fitting Models using R-style Formulas »

Scoring and Predictive Models »

Data Engineering: What is it? »

ON the evolution of Data Engineering »

How To Become a Data Engineer »

Data Engineering 101: Top Tools And Framework Resources »

ETL - Understanding It and Effectively Using It »

The Types of Modern Databases »

Introduction to MongoDB and Python »

A Typical Data Engineering Project »

The Top 29 Data Engineering Open Source Projects »

Data Engineer Interview Questions With Python »

18 Places to Find Data Sets for Data Science Projects »

25+ Websites to Find Datasets for Data Science Projects »

How to Explain a Complex Topic in Simple Terms »

Turning Data Into Insights-How to use Data Visualization for Storytelling »

Fundamentals of Data Visualization »

Data Visualization 101: How to Choose the Right Chart or Graph for Your Data »

10 Useful Ways to Visualize Your Data »

The Psychology of Color in Data Visualization »

Choosing Colors for Your Data Visualization »

** I can't stress enough how HELPFUL Meet-Up groups and Twitter have been during my tech/analytics journey. Both platforms have a plethora of information
and are a great way to build a community. **

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Algorithms of Oppression: How Search Engines Reinforce Racism »

How Can We Eliminate Bias In Our Algorithms? »

How Big Data Is ‘Automating Inequality’ »

Mitigating Algorithmic Bias in Predictive Justice »

Technology Is Biased Too. How Do We Fix It? »

Computational Social Science ≠ Computer Science + Social Data »