Career Path

Learn Data Analysis for your Business

Learn Python and SQL, and build the skills you need to query, analyze, visualize data — and communicate your findings.

Includes Python 3, SQL, Pandas, NumPy, Matplotlib, Seaborn, SciPy, and more.

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  • Skill level

    Beginner
  • Time to complete

    28 Weeks
  • Certificate of completion

    Yes
  • Prerequisites

    None

About this career path

Businesses generate tons of information, but they don’t always know how to make use of it. So they look to masters of big data to make sense of it all. Consider this your team’s roadmap to success as data analysts. They’ll gain step-by-step guidance as they learn the skills and tools needed to surface business critical information to the organization.

Syllabus

17 units • 67 lessons • 54 projects • 40 quizzes
  • 1

    Welcome to the Data Analyst Career Path

    Start off with an overview of what you’ll cover in the Data Scientist Career Path, projects you’ll build, and resources you’ll benefit from.

  • 2

    Getting Started with Data Analytics

    Start with a quick introduction to Data Analytics: what it is, how it works, and how it drives data-driven decision making.

  • 3

    Python Fundamentals

    Learn the fundamentals of Python from syntax to modules.

  • 4

    Python Portfolio Project

    Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!

  • 5

    Data Acquisition

    Learn about various methods of acquiring data.

  • 6

    Data Manipulation with Pandas

    Gain an overview of data manipulation and data analysis with pandas, and introduce Python lambda functions.

  • 7

    Data Wrangling and Tidying

    Most data scientists spend the bulk of their time preprocessing data. Learn how to do it right.

The platform

Hands-on learning

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    Codecademy Learner @ USA

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How it works

Start your new career faster

  1. Learn the skills

    This expertly curated career path gives you all the knowledge and experience you need to start this career.
  2. Prep for interviews

    Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.
  3. Get hired

    Showcase your skills with a Codecademy professional certification and connect with employers directly.

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