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Overview
The Data Analytics with Python course at Winc Academy opens doors to exciting career opportunities in a rapidly growing field. Hundreds of students have already gone before you.
Key Facts
Data is everywhere and has the power to transform businesses. Python is currently the most popular programming language for data analysis. Why? Because it is accessible to beginners as well as powerful enough for complex analysis.
In our Data Analytics with Python course, you'll learn how to understand, process and analyze data to gain valuable insights within 20 weeks. We start with SQL, the language you use to extract data from databases. Then you'll dive into Python and get acquainted with popular tools such as NumPy, Pandas and Matplotlib.
Upon completion, you will be able to:
- Analyzing and editing datasets with pandas
- Creating impressive visualizations with matplotlib
- Discovering trends and making predictions
- Presenting data insights clearly to teams
Programme Structure
Courses include:
- What is SQL
- Retrieve and manage data with SQL
- Working with databases
- Variables and data types
- Strings and operations
- Booleans and logical operators
- Writing and using functions
- Applying conditional logic
- Using loops for repetitions
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
- Continuous support with feedback on request
Campus Location
- Amsterdam, Netherlands
Disciplines
Data Analytics View 6 other Short Courses in Data Analytics in NetherlandsWhat 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
This course is aimed at:
- Beginners in data analysis
- Analysts looking to retrain
- Professionals in data-driven roles
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents2595 EUR / full≈ 2595 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2595 EUR / full≈ 2595 EUR / full
Funding
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