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Data Analyst in Python Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
4 days
Duration
4 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Data Analyst in Python course offered by Data Camp you will develop your data analytics skills in Python, gain the data analyst skills to manipulate, analyze, and visualize data. 

Overview

Context

Launch your data analytics career by mastering Python, the most popular programming language for data analysis. 

Develop Essential Data Analysis Skills in this Data Analyst in Python course offered by Data Camp,

Through hands-on exercises and real-world projects, you'll gain the fundamental skills every data analyst needs:

  • Clean and preprocess data using pandas and NumPy
  • Create compelling visualizations with Seaborn and Matplotlib
  • Perform exploratory data analysis to uncover insights
  • Apply statistical techniques like hypothesis testing and sampling
  • Combine data from multiple sources using joins and merges

Work with Real-World Datasets

Practice your skills on a variety of datasets reflecting the challenges data analysts face daily. You'll investigate Netflix movies, explore NYC public school test scores, analyze crime patterns in Los Angeles, and more. These projects will build your confidence in tackling real data problems and communicating your findings effectively.

A Comprehensive Curriculum for Aspiring Data Analysts

This Track provides a comprehensive learning path for aspiring data analysts. You'll start with the basics of Python programming and gradually progress to more advanced data manipulation and statistical techniques. The courses cover key libraries like pandas, NumPy, and Seaborn, ensuring you have a well-rounded data analysis toolkit.

Programme Structure

Courses

  • Intermediate Python
  • Data Manipulation with pandas
  • Joining Data with pandas
  • Statistics in Python
  • Intermediate Importing Data in Python
  • Data Manipulation with Python
  • Data Visualization with Seaborn
  • Exploratory Data Analysis in Python
  • Sampling in Python
  • Hypothesis Testing in Python

Key information

Duration

  • Part-time
    • 4 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • There are no prerequisites for this track
  • This track is suitable for beginners with no prior coding experience. All the courses included in this track provide a comprehensive introduction to their respective topics as well as foundational knowledge which can be used for more advanced data analysis topics.
  • This track is great for any aspiring data professional or researcher who wants to gain domain-specific expertise, or for those who want to gain a solid foundation in data analysis for their current job.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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