This introductory Data Science course provides participants with essential skills for working with data, including data preprocessing, cleaning, exploration, and visualization. The course uses popular Python libraries such as NumPy, Pandas, and Matplotlib to teach fundamental concepts and techniques in data analysis.

By the end of this course, participants should be able to:

• Understand the importance of data preprocessing and cleaning in data analysis.
• Use NumPy for numerical data manipulation.
• Use Pandas to load, clean, and explore tabular data.
• Create informative visualizations of data using Matplotlib.
• Learn about the model useable charts in data science.

Training will be conducted via Microsoft Team Meeting. Meeting invites will be shared on the day before the first day of training.

• 3 days (18 hours)

• Presentation Slides
• Training Recordings
• Study References

Upon successful completion of training, participants will receive a certificate.

This course is appropriate for a wide range of professionals but not limited to:

• Individuals interested in entering the field of data science.
• Data analysts or business professionals looking to enhance their data handling skills.
• Anyone seeking to understand the basics of data preprocessing, cleaning, exploration, and visualization using Python.

Prerequisites

• Participants should have a basic understanding of Python programming. Prior knowledge of Python fundamentals is recommended but not mandatory.

Participants can avail a discount of either an early bird or group discount whichever is higher with an additional discount when signing up for 2 or more courses.

Group Discount (same company only)

• 15% Discount for groups of 5 or more
• 10% Discount for groups of 3-4

Bundle Discount

• Sign up for 2 courses and get an extra 10% off
• Sign up for 3 courses and get an extra 15% off