Gain the career-building Python skills you need to succeed as a data analyst. No coding experience required.

In this Internship/Training, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You’ll also gain experience of working with real-world datasets, including data from the Titanic and from Twitter’s streaming API, to grow your data manipulation and exploratory data analysis skills, before moving on to learn the SQL skills you’ll need to query data from databases and join tables. Start this track, grow your Python and SQL skills, and begin your journey to becoming a confident data analyst.

⇩ What we cover in 4 weeks.

Week 1 – 3

Introduction to Data Science in Python

Intermediate Python

Data Manipulation with PANDAS

Joining Data with PANDAS

Introduction to Data Visualization with Matplotlib

Introduction to Data Visualization with Seaborn

Introduction to Importing Data in Python

Cleaning Data in Python

Exploratory Data Analysis in Python

Analyzing Police activity with PANDAS

Working with Categorical Data in Python

Introduction to SQL

Streamlined Data Ingestion with PANDAS

Introduction to Relational Databases in SQL

Joining Data in SQL

Introduction to Databases in Python

Week 4

Capstone Project

Program Benefits

Certificate of Completion

Letter of Recommendation

Complete this course while you work

Rigorous curriculum designed by industry experts

Best performers will also be offered a job within the company.