Data Analytics with Python
About Course
Learn Data Analytics with Python through a practical, end-to-end approach to collecting, cleaning, analyzing, and visualizing data. This course covers Python for data analysis, NumPy, Pandas, data cleaning and transformation, exploratory data analysis, statistical concepts, and data visualization using tools such as Matplotlib and Seaborn. You’ll learn how to turn raw datasets into meaningful insights and make data-driven decisions.
Duration: 35-40 Hours
Category: Coding/Development
Skill Level: Beginner – Intermediate
Modules:Â Â Â 22
Subjects & Expertise
With extensive experience in Python-based data analytics and data-driven technologies, I specialize in teaching data analysis, data cleaning, exploratory data analysis, visualization, and statistical techniques using Python. The training focuses on helping learners transform raw and unstructured data into meaningful insights that can support real-world business decisions.
Whether you’re a beginner entering the field of data analytics or a professional looking to strengthen your analytical skills, the course provides hands-on learning through real-world datasets, practical exercises, case studies, and projects. Students gain the confidence to analyze complex datasets, identify trends, create meaningful visualizations, and communicate data-driven insights effectively.