Career Path

Data Scientist: Analytics Specialist

Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.

Includes Python 3, SQL, pandas, scikit-learn, Matplotlib, Tableau, Excel, and more.

This career path includes
57,922 learners enrolled
This career path includes
  • Skill level

    Beginner
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    70 hours
  • Projects

    57
  • Prerequisites

    None

About this career path

Companies are looking for Data Scientists who can manage data, get results, and drive decision-making. Analytics is all about using data to answer questions, and this Career Path will teach you just that. You’ll learn how to analyze data, build dashboards, and deliver impactful reports. Along the way, you’ll build portfolio-worthy projects that will help you get job-ready.

Average Salary (US)
$125,000

Syllabus

22 units • 69 lessons • 57 projects • 47 quizzes
  • 1

    Welcome to the Data Scientist: Analytics Specialist Career Path

    Discover what you will learn on your journey to becoming a Data Scientist: Analytics Specialist!

  • 2

    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.

  • 3

    Learn SQL

    Learn SQL — a popular language that’s used for communicating with databases and working with data.

  • 4

    Python Fundamentals for Data Science (Part I)

    Build a foundation in programming with Python with a focus on Data Science!

  • 5

    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.

  • 6

    Portfolio Project: U.S. Medical Insurance

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

  • 7

    Python Pandas for Data Science

    Learn how to use the Python pandas library and lambda functions for Data Science.

  • Professional certification available with Pro

    Pass all exams to prove your expertise and earn a professional certification.

The platform

Hands-on learning

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    Codecademy Learner @ USA

Earn a professional certification

Prove your expertise to yourself — and prospective employers by passing all certification exams in this career path. Easily share your certifications with your network — and prospective employers.
  • Demonstrate your expertiseProvide evidence of competency and mastery of your chosen subject to employers.
  • Take industry standard assessmentsYour skills are assessed through a rigorous exam process based on industry standard core competencies.
  • Skip ahead to the examDon't waste time learning what you already know — go straight to taking a certification exam.

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Frequently asked

  • Career paths teach you exactly what you need to start a new career. Curated by our team of experts, career paths contain a collection of courses, projects, prep for technical interviews, and more. By the end, you’ll be ready to start interviewing for entry-level jobs in the career of your choice.

Everything you need for a Data Scientist: Analytics Specialist career

  • Job-readiness checker
    Use AI to evaluate how well your skills and experience meet the requirements of a job posting.
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  • Portfolio projects
    Apply what you're learning to create recruiter-ready projects for your portfolio.
  • Interview simulator
    Use AI to identify strengths and see how to improve your interviewing skills to land your dream tech job.
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  • Job listings
    Get personalized job postings, connect with employers hiring tech talent, and easily apply for open roles.
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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.

Become a Data Scientist

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