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Overview
Context
Are you ready to gain the foundational skills you need to become a Python data analyst?
In this Python Data Fundamentals course offered by Data Camp, you'll learn the Python basics you need to start on your data analytics journey, including how to clean real-world data ready for analysis, use data visualization libraries, and even how to analyze your data accurately using statistics.Your instructors will introduce you to how companies worldwide use Python to gain a competitive edge.
hrough hands-on coding exercises, you’ll then learn how to read, store, manipulate, and explore data using pandas. Then, it’s time to level up as you learn how to visualize your data using Seaborn, perform statistical analyses, and model predictions using probability. Start this track to add these essential Python skills to your data science toolbox.
Programme Structure
Courses include:
- Intermediate Python
- Bonus: Investigating Netflix Movies
- Data Manipulation with pandas
- Joining Data with pandas
- Data Visualization with Seaborn
- Statistics in Python
- Exploratory Data Analysis in Python
- Bonus: Analyzing Crime in Los Angeles
Key information
Duration
- Part-time
- 2 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
Disciplines
Data Science & Big Data View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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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 absolute beginners. It starts with an Introduction to Python course, giving you the foundation necessary to move onto the Intermediate Python and Data Science Toolbox courses later.
- This Track will benefit anyone looking to use Python in a data science context. Examples of such roles include Data Analyst, Data Scientist, Data Engineer or Research Scientist.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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