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
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
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.