Let’s drive into a learning journey to upskill and gain a competitive edge of AI & Data Science practically. We are collaborating with industries and building a real-life use case to help you unlock transformative career growth in data science practically.
*Limited seats with small batch size
In today’s data-driven business environment, managers must have a basic understanding of programming and data analysis to make informed decisions. This course is designed for non-coders, focusing on Python programming for data analysis, statistics, probability, linear algebra, and leveraging the Pandas library for efficient data manipulation. This 30+ hours of intensive practical-oriented program is designed for non-coders, focusing on Python programming for data analysis, statistics, probability, linear algebra, and leveraging the Pandas library for efficient data manipulation.
This program is specifically designed for managers and professionals who do not have a coding background but need to understand and leverage data analysis techniques using Python for decision-making in their roles.
This program is ideal for:
Recommended Skills:Â
30+ Hours of Live Learning with practical
Tailored for managers with no prior coding experience.
Hands-on exercises and projects to apply concepts in real-world scenarios.
Get an introduction to how programming can automate repetitive or large tasks
Understand how to load raw data into a format that makes processing and manipulation easier
Build simple to complex plots and graphs of data to help with exploration and analysis.
Delivered by Industry’s top 1% Faculty and Industry Experts
Industry Recognized IT Specialist Certiport-Pearson Vue certification*
Demystify key concepts of Python programming for data analysis.
Apply statistical concepts to analyze and interpret data effectively.
Utilize probability theory for decision-making and risk assessment.
Perform linear algebra operations for data transformation and modeling.
Master Pandas for data manipulation, cleaning, and exploration.
Develop skills to use Python libraries for visualizations and reporting.