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2nd Floor, Natures Heaven Apartment, Nellore, AP, INDIA
00+ Years Experience
Last Update
Available
(5.0 / 4.7 Rating)
Data Science is one of the fastest growing fields in the technology industry. It focuses on extracting meaningful insights from data using statistics, programming, machine learning, and data visualization techniques. Organizations use Data Science to make smarter business decisions, predict trends, and solve complex problems using data.
This course is designed for beginners, students, and professionals who want to build a career in Data Science and Artificial Intelligence. You will learn data analysis, Python programming, machine learning algorithms, and real-world data science projects used by companies across industries.
Learn Python programming fundamentals and libraries such as NumPy, Pandas, and Matplotlib used for data analysis.
Understand how to clean, analyze, and visualize datasets using powerful data visualization tools.
Learn machine learning concepts including regression, classification, clustering, and predictive modeling.
Work on practical projects using real datasets to understand how Data Science is applied in business.
This Data Science course is suitable for beginners and professionals. Basic knowledge of mathematics and programming will be helpful, but no prior Data Science experience is required.
This course is beginner friendly and designed for students who want to start a career in Data Science and analytics.
Understanding basic statistics and mathematics will help you learn machine learning concepts faster.
A computer with internet connection is required to practice programming and data analysis.
Curiosity to analyze data and build intelligent models will help you succeed in this course.
Through structured lessons and practical training, you will learn Python programming, data analysis, machine learning algorithms, and real-world data science projects used by modern organizations to make data-driven decisions.
Understand the fundamentals of Data Science, data-driven decision making, and industry applications.
Introduction to Data Science
Data Science Lifecycle
Applications of Data Science
Learn Python programming and important libraries used in Data Science.
Python Basics for Data Science
NumPy and Pandas
Data Cleaning and Data Processing
Learn how to visualize data using popular tools and libraries for better insights.
Introduction to Data Visualization
Matplotlib and Seaborn
Creating Interactive Dashboards
Learn machine learning algorithms and apply them to real-world projects.
Regression and Classification
Clustering and Predictive Models
Real-Time Data Science Project
Senior Data Scientist & Machine Learning Expert
(5.0 / 4.5 Rating)
58 Courses
Dr. Arjun Sharma is an experienced Data Scientist with more than
12 years of experience in Data Analytics, Machine Learning,
and Artificial Intelligence.
He has worked with large datasets, predictive modeling,
and real-world AI applications across multiple industries.
Dr. Arjun has trained hundreds of students and professionals
in Python, Data Science, and Machine Learning with hands-on projects.
Lesson
50Duration
2 MonthsSkill Level
AdvancedLanguage
English & TeluguDeadline
March 31, 2026