Data Scientist Career Path By Codecademy

Created By Codecademy.com

210 Comments

54 Reviews

Pathway

Time:

200 Hours (35 Weeeks)

Language:

English

Location:

Global

Media Formats:

Text, Video

Cost:

35.99$ Monthly Plan, 17.99$ Monthly Annual Plan

Enrolled Students Count:

1536370

Dropped Out Students Count:

370

Completed Students Count:

153600

Job Placement Rate:

Unknown

Certificate:

Yes

Accredited By:

Not Accredited

Pacing Type:

Self-Paced

Type:

online

Learning Methodology:

Top down, Task based education, Self-paced education

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Data Scientist Career Path By Codecademy

Back-end developers deal with the hidden processes that run behind the scenes, building APIs and databases that power the front-end. This Career Path will teach you the technologies you need to do just that.

Features

Progress Tracking

The pathway tracks your progress as you go through the pathway

Built-in IDE

Test your code with the built-in Integrated Development Environment tool.

Focus Timer

Set a timer to stay focused and get more done.

Cheatsheet

Review some of the concepts you’ve been learning quickly

Community Forums

Discuss about your problem and get help from others

Chapters

Join a chapter & collaborate with fellow learners virtually or in-person

Inculde Quizzes

This pathway contain some quizzes

Inculde Project

This pathway contain some projects

Main Modules

Welcome to the Data Scientist 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.

Getting Started with Data Science

Start with a quick introduction to Data Science: what it is, how it works, and how it's shaping the future of the technology industry.

Python Fundamentals

Learn the fundamentals of Python from syntax to modules.

Python Portfolio Project

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

Data Acquisition

Learn about various methods of acquiring data.

Data Manipulation with Pandas

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

Data Wrangling and Tidying

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

Summary Statistics

Learn about how data scientists use summary statistics to gain insights about data!

Hypothesis Testing

Learn how to design and conduct a hypothesis test in Python.

Data Visualization

Use data visualization to better explore and analyze your data.

Data Visualization Portfolio Project

Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.

Communicating Data Science Findings

Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.

Data Analysis Portfolio Project

Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.

Natural Language Processing

Learn the basics of Natural Language Processing - a field focused on programming computers to understand natural languages like English!

Foundations of Machine Learning: Supervised Learning

Learn the basics of Machine Learning while investigating several supervised learning techniques.

Foundations of Machine Learning: Unsupervised Learning

Dip your toes into unsupervised machine learning with K-Means clustering, hierarchical clustering, and PCA.

Foundations of Deep Learning

Get ready to dive headfirst into deep learning fundamentals!

Machine Learning Portfolio Project

Use your knowledge of machine learning to build, train, and test predictions you draw about data from OKCupid.

SQL for Interview Prep

Build on your SQL knowledge to prepare yourself for data scientist interviews.

Data Scientist Final Portfolio Project

Show off your knowledge of data science by developing your final portfolio project on a topic of your choice.

Next Steps

Congratulations on finishing the Data Scientist Career Path! What will you do next?