Course Overview
Learn Python and Data Science in Ranchi at EEPL Classroom through practical, project-based training designed for beginners, students, graduates, and aspiring data professionals. This course provides a strong foundation in Python programming and introduces you to the essential tools and techniques used in data analysis and data science.
You will learn Python programming, NumPy, Pandas, Matplotlib, data cleaning, data analysis, data visualization, statistics fundamentals, and working with real-world datasets. The course focuses on practical learning, helping you understand how to collect, clean, analyze, visualize, and interpret data.
Learn important Python concepts including variables, data types, operators, conditional statements, loops, functions, lists, tuples, dictionaries, sets, file handling, exception handling, and object-oriented programming. You will also work with powerful data analytics libraries such as NumPy, Pandas, and Matplotlib.
Through hands-on assignments and projects, you will learn how to clean datasets, identify patterns, calculate meaningful insights, create charts and visualizations, and present analytical results effectively.
Course Highlights: Python programming, NumPy, Pandas, Matplotlib, data cleaning, data analysis, data visualization, practical assignments, real-world datasets, project-based learning, doubt-solving support, career guidance, interview preparation, placement assistance, and certificate.
This course is suitable for students, graduates, beginners, aspiring Data Analysts, Python learners, and anyone interested in starting a career in Data Science and Data Analytics.
After completing the course, learners can explore opportunities such as Data Analyst, Junior Data Analyst, Python Developer, Data Science Intern, Reporting Analyst, and Business Intelligence roles.
Duration: 45–60 Days
Mode: Offline Classroom Training
Regular Fee: ₹29,999
Discounted Fee: ₹15,000
Location: Ranchi
Join the Python + Data Science Course at EEPL Classroom, Ranchi, build practical skills, work on real-world projects, and take your first step toward a career in Python, Data Analytics, and Data Science.
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Scholarships
Merit-based and financial need scholarships available. Ask our counselor.