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
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Software Engineering Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
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
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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