Data Analyst with Python
Data analysis, data visualization and predictive analytics with Python - the online training with certificate of completion
The online training course has been tested and approved by the State Central Agency for Distance Learning (ZFU) in Cologne under the number 73598.
Contents
1. the Python guide for beginners
- Working with the Data Lab.
- Basics and concepts in Python.
- Save numbers and texts as variables.
- Bundle variables as groups in lists.
- Read and understand error messages correctly
2. basics of programming
- Programming basics for data analysts.
- Use functions and methods.
- Flow controls with the help of conditions.
3. loops and functions with Python
- Process control with the help of loops.
- Extend the functional scope of the code.
- Import additional Python packages.
- Programming concepts for data analytics.
4. create data pipelines with pandas
- Get to know and use pandas.
- Import CSV files correctly.
- Cleanse and aggregate data.
5. exploring data with matplotlib
- Visualization of different data levels.
- Representation of numerical data as histograms.
- Display of numerical data as scatter diagrams.
- Representation of categorical data as bar and pie charts.
6. make statistically based predictions
- Overview of statistical principles.
- Understanding and using medians and quartiles correctly.
- Identify outliers.
- Predictions with linear and logistic regression.
7. include internal data from SQL databases
- Important queries with SQL.
- Make your own selections.
- Read out data using the example of a personnel database.
8. integrate external data via APIs
- Read data from online databases.
- Scrape data from websites.
- Read data via APIs.
9. data visualization with Advanced Jupyter
- Advanced functions in Jupyter Notebooks.
- Present data in Jupyter Notebooks.
- Dashboards with live updates and interactive features.
10th exercise project
- Complete data project from data cleansing to visualization.
- Data analysis with a professional data set (with over one million cab rides in New York).
- Analysis task for independent implementation.
11. final project
- Audit project on customer churn in a telecommunications company.
- Independent analysis of the data project.
- Presentation of results and 1:1 feedback meeting with mentoring team.
- Obtaining the certificate for Data Analyst with Python.
Your benefit
- In this practice-oriented training course, you will learn how to carry out data analyses with large data sets independently.
- You will learn how to use Python competently, how to use the programming language for data evaluation and how to create effective visualizations.
- You will learn how to connect different data sources, filter data in them and merge them.
- After the training, you will be able to visualize company data in a meaningful way and make it interactively accessible in dynamic dashboards.
- The technical entry hurdles are minimized by the use of Jupyter notebooks, with which you can carry out the programming exercises directly in the browser.
Your learning journey
This online course offers a particularly practice-oriented learning concept with comprehensive self-study units and a team of mentors who are available throughout the course. With a time budget of 3–5 hours per week, you are sure to reach your goal in 8 weeks.
This is what you will learn in the course:
Data Lab: The course’s learning environment features videos, interactive graphics, text, and—most importantly—lots of hands-on exercises using comprehensive datasets. You can complete these exercises directly in your browser or import them into Excel.
Mentor Team: Learning coaches are available to answer any questions you may have. They are experienced data analysts who are happy to help—via chat, audio call, or video call.
Webinars: Once a week, you’ll have the opportunity to participate in webinars and delve into selected specialized topics in data analysis.
Career Coaching: What professional goals are you pursuing through this training, and how can you achieve them? A team of mentors is here to help you achieve your career goals.
Certificate: After completing the final project, you will receive your official certificate of participation in this training program.
This online training course is provided by our partner, StackFuel GmbH. StackFuel specializes in training courses on data literacy, data science, and AI.
Recommended for
The online training to become a Data Analyst with Python is suitable for anyone who wants to carry out independent data analyses using Python as a programming language. No special requirements need to be met. The course is also suitable for career changers.
30353
Can also be booked as English-language training:
Data Analyst with Python
In cooperation with
Mastering the future
Analyze data, recognize patterns, make predictions - with the Master Class "Data Analyst".
Further recommendations for "Data Analyst with Python"
Start dates and details
Training is guaranteed to take placeYou might also be interested in:
The training is carried out in cooperation with an authorized training partner.
This entity collects and processes data on its own behalf. Please review the relevantprivacy policy.
About us - The Haufe Akademie
Your optimizer, innovator and companion since 1978 -
Your professional partner for professional development and seminars, training courses and topical conferences.
Whether on site, live online or in-house - our customised solutions, our claim to the highest level of consulting expertise and training tailored to your needs simplify the acquisition of skills for the working world of the future and sustainably facilitate professional development.
A wide range of seminars, individual coaching and our flexible formats support HR managers and decision-makers in shaping the future and developing employees, in-house teams and companies.
Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
Do you have any questions?
We are there for you Monday to Friday 8:00 a.m. - 5:00 p.m.
Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
Munzinger Str. 9
79111 Freiburg
- Planning security
- Free seminar places
- Quality standards
- Planning and locations
- Funding opportunities
- Training app
- Business Solutions
