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Certificate program in Data Science & Machine Learning - E-Learning

via SWAYAM Plus

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Master data analysis, statistical modeling, machine learning algorithms, and data visualization. Develop skills to solve real-world problems using data-driven approaches.

Intended audience

Certification

Prerequisites

BE / B. Tech / ME / M. Tech / Degree

Assessment & certification

Assessment fee: Included — no extra fee
Assessment mode: Online
Assessment type: MCQ
Assessment provider: ExcelR
Certificate provider: SWAYAM Plus and ExcelR

NCrF level: 7.5 (NCrF credit-eligible)

Syllabus

Week 1: • Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation etc.)
Week 2: • Intro to Python and Installation of Anaconda Software (Jupyter Notebook)
Week 3: • Inferential Statistics (Confidence Interval, Hypothesis Testing, ANOVA, Chi-Square Test)
Week 4: • Regression Techniques (Linear, Multiple Linear, Logistic)
Week 5: • Exploratory Data Analysis (EDA)
Week 6: • Clustering Techniques (Hierarchical, KMeans, DBSCAN)
Week 7: • PCA
Week 8: • Association Rules, Recommendation System
Week 9: • Decision Tree
Week 10: • Feature Engineering
Week 11: • Model Evaluation Techniques
Week 12: • Bagging and Boosting (Random Forest)
Week 13: • XGBM, LGBM
Week 14: • KNN, Support Vector Machine
Week 15: • Lasso and Ridge Regression
Week 16: • ANN
Week 17: • Introduction to CNN
Week 18: • Text Mining
Week 19: • Forecasting
Week 20: • Project Discussion