Data Analytics
Build a rock-solid foundation in structured, analytical thinking
6-10 months
Beginner to Intermediate
What you’ll be able to do
Tools you'll learn
Curriculum
5 Modules · 17 Sprints01Introduction to Data Analytics4 sprints
01Introduction to Data Analytics4 sprints
In this first module, you'll lay the foundation for a successful career in data analytics. Through a structured approach, you'll dive into the core principles of data analytics, harness the potential of spreadsheets, learn about AI applications, and master the art of SQL querying. With a focus on practice with industry-standard tools like Google Sheets, Excel, and BigQuery, you'll gain the hands-on experience you'll need to tackle complex data challenges. By the end of this module, you'll have a strong understanding of the key tools and techniques you'll be using throughout the rest of the program and your career.
Structured Approach to Data Analytics
Data analytics principles (ask, process, prepare, analyze, share, act)
Most important data tools and use cases
Artificial intelligence (AI) applications
Introduction to core statistics concepts
Utilizing Spreadsheets for Data Analytics
Exploring tools: basic to advanced in Google Sheets/Excel
Creation of charts and tables
Gaining data insights through various techniques
Data cleaning
SQL and Databases
SQL basics and key functionalities
Understanding SQL logic
Using BigQuery for SQL
Advanced SQL and Databases
Advanced SQL functionalities
Data cleaning and validation techniques
Efficient SQL querying strategies
02Communicating Analysis Results2 sprints
02Communicating Analysis Results2 sprints
In this module, you'll learn how to transform data insights into engaging narratives that captivate your audience. You'll dive into the world of interactive dashboards using Tableau and Power BI, which will allow you to create visually stunning and informative presentations. You'll also focus on honing your presentation skills, including the use of effective body language, to ensure that your message resonates with each and every person in the room. By the end of this module, you'll have the confidence and expertise to communicate your data-driven insights in a way that inspires action and drives results.
Visualizing Data Using BI Tools
Dashboard creation with Tableau or Power BI
Connecting datasets to BI tools
Exploring data with interactive elements
Using dashboards for storytelling
Presentation and Soft Skills
Effective and clear presentation
Adapting to different stakeholders
Importance of body language
03Main Analysis Types4 sprints
03Main Analysis Types4 sprints
In this module, you'll dive deep into the techniques top companies use to understand customer behavior, optimize e-commerce strategies, and drive business growth. From mastering cohort analysis and RFM segmentation to building insightful A/B tests, you'll gain hands-on experience with the methods essential for making confident, informed decisions.
Retention, Cohorts, and Churn
Cohort analysis
Different types of retention and churn analysis
Funnels
Key concepts and applications of funnel analysis
CLV, Customer Segmentation, and RFM
Customer segmentation techniques
Recency, Frequency, and Monetary (RFM) analysis
Customer lifetime value (CLV) prediction
Statistical Inference and A/B Testing
Key concepts and applications of A/B testing
Intermediate statistics concepts
04Python for Data Analytics4 sprints
04Python for Data Analytics4 sprints
In this module, we'll take you on a journey through Python, even if you have no prior experience with Python or coding. Through hands-on projects and real-world examples, you'll gain the skills to tackle complex data challenges using Python. From mastering the fundamentals of programming to working with libraries like Pandas, you'll learn how to process, analyze, and visualize data in ways that drive meaningful insights.
Programming with Python
Functions and variables
Conditionals and loops
Core data structures
Combining basic concepts into a structured, larger program
Data Processing with Pandas
Libraries
Working with files
Exploratory data analysis with Pandas
Practical task: Top 50 Spotify tracks of 2020
Data Visualization with Python
Basic charting
Data cleaning and intermediate charting
Practical task: Coursera course analysis
Machine Learning
Regression
Classification
Practical task: Predictive modeling
05Optional Modules3 specializations · 3 sprints
05Optional Modules3 specializations · 3 sprints
Choose from specialized tracks to deepen your expertise in areas that match your career goals.
Product Analyst
In this module, you'll dive into the world of product analysis. You'll work with user event data, applying additional logic to extract valuable insights. If you're passionate about product development, product-centric metrics, funnel analysis, and A/B testing, this specialization is perfect for you!
Funnel analysis
Ad-hoc analysis
Running A/B tests
~28 days to complete
Marketing Analyst
Get ready to explore the dynamic role of a marketing analyst! In this module, you'll work with digital ads data, user event data, and various marketing campaign metrics. If you found cohorts, retention, churn, and CLV analysis interesting and want to learn more about marketing, this module is tailor-made for you.
Calculating marketing metrics
Analyzing ad performance
Running A/B tests
~28 days to complete
Capstone Project
The Capstone Project is your chance to shine and demonstrate all the knowledge you've acquired throughout the course. You'll work independently, with minimal requirements, allowing you to create a unique portfolio piece tailored to your specific industry and technology interests. This is your opportunity to showcase your skills to potential employers and make a lasting impression.
Independent project work
Create a unique portfolio piece
Showcase skills to potential employers
~32 days to complete