Data science
Become a proficient Data Scientist by mastering data analysis, machine learning, and visualization.
Course Overview
This comprehensive Data Science course covers everything from the basics of statistics and Python programming to advanced techniques like machine learning and data visualization. Whether you are a beginner or looking to upgrade your skills, this course offers practical projects and expert guidance to boost your career.
What You’ll Learn
MODULE-1
1-Introduction to Data Science
2-Importance and applications of Data Science
3-Data Science vs. Data Analytics vs. Machine Learning
MODULE-2
1-Python for Data Science
2-Introduction to Python
3-Python libraries: NumPy, Pandas, Matplotlib
4-Basic data manipulation and visualization
MODULE-3
1-Data Cleaning and Preprocessing Techniques
2-Handling missing data Data normalization and standardization
3-Feature engineering Data transformation techniques
4-Statistics and Probability for Data Science
5-Hypothesis testing
MODULE-4
1-Exploratory Data Analysis (EDA)
2-Understanding the dataset
3-Data visualization techniques
4-Correlation analysis
5-Outlier detection
MODULE-5
1-Introduction to Machine Learning
2-Supervised vs. Unsupervised learning
3-Linear regression
4-Machine Learning Algorithms: Regression, Classification, Clustering
5-Model evaluation metrics