Overview
Why the Data Analytics with Python course at Winc Academy?
- Data has become an indispensable part of this world. Being able to analyze this data and convert it into insights is a crucial skill for anyone who works or wants to work with data.
- Discover how to make data-based desicions, how to visualize data and share it with your team to turn the insights into growth.Python is a popular programming language among data analysts. During the course we will show you how you can use Python to get more out of your data analyses.
- Graduate job-ready with the confidence to get hired.
- We are 100% sure that after completing the course, you are ready for a junior role in tech. If you don't get a job in six months, you are entitled to a refund.
The Winc Method:
Our mentors continue to motivate, are always available and provide personal feedback.
All courses are remote, which means that they can be followed online and from the comfort of your home.
We follow the principle of learning by doing. All mentors are developers who know exactly what you should be able to do in practice.
- You have a personal learning path and are in full control. Start anytime. Full time or part time. Whenever you want.
Programme Structure
This course will equip you with:
- Python: Python is a popular programming language widely used by data analysts. During this course you will learn to work with Python to create and manage data structures quickly.
- Collecting and cleaning data: You learn what to pay attention to when you start collecting data and how you can ensure that the data can be analysed.
- Visualize and report data: You will learn the different ways to visualize and report data, so it's easy to extract insights.
- Data Analytics Tools: You will learn how to use a number of tools to work with data, such as Google Colab, NumPy, pandas and Matplotlib.
Grouping and analyzing data: You will learn how to formulate and answer data questions based on a dataset. After that you will look for trends, seasonal influences and other patterns.
Theory and machine learning.
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
Disciplines
Software Engineering Data Analytics View 4 other Short Courses in Software Engineering 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
- No prior degree required.
Technological requirements
Your computer or laptop must have a reasonable memory, a well-functioning webcam, a good sound card and is preferably not older than +/- 5 years. In addition, you should be able to easily install new software on it. Note: Chromebooks, iPads and Android tablets are not suitable for this.
Tuition Fee
To always see correct tuition fees
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International
2495 EUR/fullTuition FeeBased on the tuition of 2495 EUR for the full programme during 3 months. -
EU/EEA
2495 EUR/fullTuition FeeBased on the tuition of 2495 EUR for the full programme during 3 months.
Funding
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