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You’re aspiring to become a data scientist.
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You’re looking to learn skills, best practices, and strategies needed to launch your data science career.
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You wish to set yourself apart in the job market.
Become a Data Scientist
Data scientists are the driving force behind data-driven decision-making in today's organizations. By gathering, processing, and analyzing vast amounts of data, they uncover hidden patterns, predict trends, and provide actionable insights. In this comprehensive learning path, you’ll leverage Python and Anaconda to gain essential data science knowledge and skills needed to become a proficient data scientist.
By the end of this learning path, you’ll learn:
Essential data science skills, such as data cleaning with pandas, exploratory data analysis with Python, and data visualization with Matplotlib and seaborn
Fundamental math concepts that underpin data science and AI, such as linear algebra, statistics, and calculus
Basics of SQL and machine learning
How to build your data science portfolio
Python Programming: Practice Quiz
Take this quiz to test your Python knowledge before diving into the rest of the curriculum.
Introduction to Data Science
Explore the role of a data scientist, cross-functional collaboration, and data science applications.
Statistics and Hypothesis Testing
Learn fundamental skills to describe and analyze data with Python.
Become a Data Scientist: Practice Quiz 1
Attempt this practice quiz to test your newly acquired knowledge.
Introduction to pandas for Data Analysis
Building a foundation in Python using pandas dataframes for analysis.
Become a Data Scientist: Practice Quiz 2
Attempt this practice quiz to test your newly acquired knowledge.
Introduction to Data Visualization with Python
Derive insights from data using Pandas .plot, Seaborn, and Matplotlib.
Become a Data Scientist: Practice Quiz 3
Attempt this practice quiz to test your newly acquired knowledge.
Introduction to Machine Learning
Get started with fundamental machine learning algorithms using scikit-learn.
Build Your Data Science Portfolio
Best practices and strategies to launch your data science career.
Become a Data Scientist: Practice Quiz 4
Attempt this practice quiz to test your newly acquired knowledge.
What's Next?
Complete all courses in this path to earn your course completion certificates.
This is for you because...
Prerequisites
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Basic Python proficiency.
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Attempt the "Python Programming: Practice Quiz" to test your Python knowledge.
INSTRUCTOR
Thomas Nield
Thomas is the Founder of Nield Consulting Group and Yawman Flight, and an instructor at University of Southern California. He has authored bestselling books, including Essential Math for Data Science (O’Reilly).
INSTRUCTOR
Max Humber
Max is a Senior iOS Engineer at National Hockey League (NHL), and the creator of gazpacho, gif, and GRAPHIITE.
INSTRUCTOR
Ryan Orsinger
Ryan is the Director of Data Science and Research at Haven for Hope. He previously taught data science and software development at Codeup.
INSTRUCTOR
Jose Mesa
Jose is a Staff Software Engineer at Anaconda. He received his Ph.D. from the University of Michigan Naval Architecture and Marine Engineering (NA&ME) department and holds two MSE degrees in Aerospace Engineering and NA&ME.
INSTRUCTOR
Sophia Yang
Sophia, a former Sr. Data Scientist at Anaconda, volunteers as a Project Incubator at NumFOCUS. She's the author of multiple Python libraries, and has a Ph.D. in Educational Psychology from University of Texas, Austin.
