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A complete hybrid learning pedagogy based on live training and on-demand training
Practical and project-oriented learning that will help you to build a great project portfolio
Access to royalty-free source code and reference materials
Time-bound result-oriented program: Definite learning outcomes at the end of the program
A complete hybrid learning pedagogy based on live training and on-demand training
Practical and project-oriented learning that will help you to build a great project portfolio
Access to royalty-free source code and reference materials
Time-bound result-oriented program: Definite learning outcomes at the end of the program
Get trained for important data science techniques with Python programming.
Topics covered in this Data Analysis live training
Basics of any programming language(python preferred)
- Ingesting Data From Various Formats
- Into To Data Mining Using Web Scrapping
- Data Cleaning
- Data Wrangling & Data Transformations
- Visualization Using Matplotlib & Seaborn
- Visualization With Pandas
- Case Study: Analyzing Traffic Violation Dataset
Codes on the following questions will be asked:
Some of the tools you will learn during this program:
Our Panel of Instructors include
This program will be taught by live instructors at a fixed time slot allocated to you. You will be able to interact with the instructor and ask them questions and clear your doubts. The instructor will also ask questions and provide live feedback on the work and assignments given to you. The online session will be conducted on zoom or on a similar service.
All recordings will be available in your Eduonix dashboards for life. You can refer to them in the future whenever you want.
All certificates will be available after two weeks of the session completion. There will be multiple projects and exams which will be graded for the final certification.
You can cancel your slot within 24 hours of your payment. You will not be able to cancel your seat after that.
You can interact with the instructor during the session. We will also conduct project support and Q/A session during the week for proper assimilation.
You can contact our support team at support@eduonix.com
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