March 2022
Beginner to intermediate
30h 54m
English
Closed Captioning available in English
Overview
In this 30-hour course, you will learn to leverage data science, analytics, and AI techniques to solve real-world business problems. Through 35+ engaging case studies, you'll develop skills in predictive modeling, statistical analysis, data visualization, and more, using Python and other state-of-the-art tools.
What I will be able to do after this course
- Master machine learning algorithms using Scikit-learn.
- Create compelling data visualizations and dashboards to communicate insights.
- Understand and resolve real-world business challenges using data science solutions.
- Gain experience in applying data science techniques to marketing and retail analytics.
- Learn big data handling and machine learning model deployment using PySpark.
Course Instructor(s)
Rajeev Ratan is a seasoned data scientist with extensive experience in applying data analysis techniques to solve business problems. His teaching methods focus on practical, hands-on learning, ensuring students gain confidence in using tools to derive actionable insights. Rajeev combines his strong technical expertise with a passion for mentoring learners at all levels.
Who is it for?
This course is suited for professionals aiming to transition into data science, beginners looking to build a strong foundation, and business analysts seeking to harness the power of data. Prior knowledge of programming and math is not required, making it accessible for individuals from diverse backgrounds aiming to become data-savvy professionals.
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