Computer Science: Shaping the Digital Future

Data Science

The Data Science course is a comprehensive, industry-focused program designed to take learners from beginner to advanced level in data analysis, machine learning, and real-world data applications. Over the course duration, students will gain hands-on experience with tools like Python, SQL, Pandas, and machine learning frameworks, enabling them to extract insights, build predictive models, and solve business problems using data.

Instructor · Mayur Tembhare

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₹ 999

About

Course description

This Data Science course is a comprehensive, industry-oriented program designed to take learners from beginner to advanced level, covering everything from Python programming and data analysis to machine learning and real-world project implementation. Students will learn how to collect, clean, and analyze data using tools like Pandas, NumPy, and SQL, while also developing strong foundations in statistics and data visualization to uncover meaningful insights. As the course progresses, learners will build and evaluate machine learning models using techniques such as regression, classification, and clustering, and gain hands-on experience solving real-world problems through practical projects. By the end of the course, participants will have the skills, confidence, and portfolio required to pursue roles such as Data Analyst, Data Scientist, or Machine Learning Engineer in today’s data-driven industry.

Curriculum

What's inside this course

Preview the modules and lessons included in this program.

Data Science

Computer Science: Shaping the Digital Future · Mayur Tembhare

This Data Science course is a comprehensive, industry-oriented program designed to take learners from beginner to advanced level, covering everything from Python programming and data analysis to machine learning and real-world project implementation. Students will learn how to collect, clean, and analyze data using tools like Pandas, NumPy, and SQL, while also developing strong foundations in statistics and data visualization to uncover meaningful insights. As the course progresses, learners wi…

Curriculum

93 items

1

Variables, Data Types, Operators, I/O

Foundation
2

Control Flow: if/else, for, while loops

Foundation
3

Tools : Python 3, VS Code / Jupyter Notebook

Foundation
4

Functions, *args/ **kwargs, lambda

Foundation
5

Modules, file I/O, exception handling

Foundation
6

List comprehensions

Foundation
7

Classes, inheritance, encapsulation

Foundation
8

Dunder methods, Python standard library

Foundation
9

Descriptive stats: mean, median, std, IQR

Foundation
10

Probability, distributions (Normal, Binomial, Poisson)

Foundation
11

Vectors, matrices, dot product — NumPy

Foundation
12

NumPy arrays, broadcasting, ufuncs

Foundation
13

Pandas: DataFrames, merging, GroupBy, missing data

Foundation
14

Matplotlib: line, bar, scatter, histogram

Foundation
15

Seaborn: heatmaps, pair plots, violin plots

Foundation
16

SQL: SELECT, WHERE, JOIN, GROUP BY

Foundation
17

Encoding (label, OHE, target), scaling, outlier treatment

Intermediate
18

Scikit-learn Pipelines, feature selection

Intermediate
19

Metrics: MAE, RMSE, R²

Intermediate
20

Linear, Ridge, Lasso, Polynomial Regression

Intermediate
21

Logistic Regression, KNN, Decision Trees, SVM

Intermediate
22

Metrics: Accuracy, Precision, Recall, F1, ROC-AUC

Intermediate
23

Random Forest, Gradient Boosting

Intermediate
24

XGBoost, LightGBM, CatBoost

Intermediate
25

Bagging vs boosting; hyperparameter tuning

Intermediate
26

K-Means (elbow method), DBSCAN, Hierarchical Clustering

Intermediate
27

PCA, t-SNE for dimensionality reduction

Intermediate
28

Window functions: ROW_NUMBER, RANK, LEAD/LAG

Intermediate
29

CTEs, stored procedures, query optimisation

Intermediate
30

Cross-validation deep dive: k-Fold, Stratified k-Fold

Intermediate
31

Perceptrons, activation functions, backpropagation

Advanced
32

Optimisers: SGD, Adam; ANN with Keras

Advanced
33

Regularisation: Dropout, Batch Norm, Early Stopping

Advanced
34

Conv2D, MaxPooling, Flatten, Dense layers

Advanced
35

Transfer learning: ResNet50, VGG — image classification

Advanced
36

Data augmentation, ImageDataGenerator

Advanced
37

Tokenisation, stemming, lemmatisation, stop words

Advanced
38

TF-IDF, Word2Vec, GloVe embeddings

Advanced
39

Sentiment analysis pipeline

Advanced
40

Attention mechanism overview

Advanced

Faculty

Program instructors

Learn from practitioners who teach what they build in industry.

Mayur Tembhare

Mayur Tembhare is a passionate data science educator and technology professional with a strong background in building scalable software systems and data-driven solutions. With hands-on experience in real-world projects across web development, automation, and analytics, he brings a practical, industry-focused approach to teaching data science—from foundational concepts to advanced machine learning techniques. Mayur is dedicated to simplifying complex topics, empowering students with job-ready skills, and guiding learners to think critically, solve real problems, and build impactful data-driven applications.

Why this course

Why choose this program

50%

Demand for data scientists in India has increased by 50% over the last five years, with NASSCOM projecting 7 million data-related jobs by 2025

1M+

India will need over 1 million data science and AI professionals by 2026, with the Indian data science market growing at a CAGR of over 33%

21%

Data science-related job postings in India have grown 21% year-on-year according to a 2025 Naukri.com report, with companies aggressively hiring for ML, AI, and analytics roles

77%

77% of data science upskilling learners in 2025 came from non-technology industries — BFSI, energy, manufacturing, and healthcare — showing the field's reach beyond core IT

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Comprehensive curriculum
Practical learning through projects
Expert guidance from professionals
Recognized certification
Boost career prospects

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Data Science

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Data Science

Course description

Course description

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Course curriculum

Data Science

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Program instructors

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Why choose this program

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