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Become a Data Scientist
Made with❤️ in NYC © 2022 Codecademy
In this path, you'll learn how to analyze data, build dashboards, and deliver impactful reports.
About this Career Path
- Organize complex data: Use Python and SQL to talk to databases and manipulate tables.
- Transform numbers into visuals: Create data visualizations and dashboards to see the big picture and drive decision-making.
- Prepare for your career: Get job-ready with portfolio projects and more.
Beginner
Skill level
$125,000
Average salary (US)
19,000+
Recent learners
Projects you’ll build
Analyze Twitch Gaming Data
Query from two tables that contain Twitch’s stream viewing data and chat room usage data.
Cryptocurrency Exchange
Help analyze data for a digital currency exchange using SQL aggregate functions!
Familiar: A Study In Data Analysis
Use statistical techniques to make statements and draw conclusions about a userbase.
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Career Path
Data Scientist: Analytics Specialist
Companies are looking for Data Scientists who can manage data, get results, and drive decision-making. That’s where Analytics Specialists come in. Get the specialized skills and portfolio you need to start your career as an Analytics Specialist in this curated career path.
Includes Python 3, SQL, pandas, scikit-learn, Tableau, Excel, and more
Write live code, build projects, and practice for interviews
Finish in 28 weeks with a professional certification
Reviews from other learners
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Codecademy Learner @ USA
"Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own."
John-Andrew
Codecademy Learner @ USA
"I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject."
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Codecademy Learner @ UK
Syllabus
Welcome to the Data Scientist: Analytics Specialist Career Path
Discover what you will learn on your journey to becoming a Data Scientist: Analytics Specialist!
1
Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
2
Learn SQL
Learn SQL — a popular language that’s used for communicating with databases and working with data.
3
Python Fundamentals for Data Science (Part I)
Build a foundation in programming with Python with a focus on Data Science!
4
Python Fundamentals for Data Science (Part II)
Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
5
Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
6
Python Pandas for Data Science
Learn how to use the Python pandas library and lambda functions for Data Science.
7
22 units • 57 projects • 69 lessons
Computer Science
Learn Computer Science fundamentals, build a professional portfolio, and prepare for an entry-level role in tech.
Career Path
Beginner friendly, 82 lessons
Data Scientist: Machine Learning Specialist
If you want to turn human language into data and get an introduction to AI, this is the career path for you.
Career Path
Beginner friendly, 81 lessons
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Assessments
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