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Master Data Science
with Live Instructor-Led Training

A comprehensive Data Science course taught by Prof. Santtosh Upadhyay, MSc Data Science from Dublin Business School. Learn Python, statistics, machine learning, deep learning, NLP, and model deployment — with hands-on projects and Power BI dashboards.

Python NumPy Pandas Matplotlib Seaborn Statistics Machine Learning Deep Learning NLP Power BI Model Deployment AWS

★★★★½ 4.8 8–10 Months Classroom English / Hindi / Marathi Certificate Job Assistance

LIVE INSTRUCTOR-LED COURSE

Data Science

Interactive live sessions · Real-time Q&A · Job Assistance

Demo: Yes

Duration: 8–10 Months

Language: English / Hindi / Marathi

Location: Classroom

Certificate: Yes

Assessments: Yes

Job Assist: Yes

Select Your Batch:

May 5, 2025

Mon, Wed, Fri — 7:00 PM to 9:00 PM IST

8 seats left

May 17, 2025

Sat & Sun — 10:00 AM to 1:00 PM IST

18 seats left

June 2, 2025

Mon, Wed, Fri — 8:00 AM to 10:00 AM IST

Open

Enroll & Reserve Seat Request a Callback

7-Day Money-Back Guarantee

Live interactive classroom sessions

Session recordings after every class

Real-time Q&A with instructor

Private batch — max 30 students

Job assistance included

Industry-recognized certificate

8–10 Months Duration

Classroom Location

4.8/5 Rating

Included Job Assistance

About the Course

What This Course Covers

This course provides a complete path through modern data science — from Python programming foundations and statistics through to machine learning, deep learning, natural language processing, and deploying models to production. Taught by Prof. Santtosh Upadhyay, who holds an MSc in Data Science from Dublin Business School (Ireland), the course combines rigorous theory with intensive practical sessions, real datasets, and industry tools like Power BI.

Note: 90% hands-on practical experience · 10% essential theory. Anyone who wants to learn from Basics to Advanced Level. Programmers looking to improve programming skills.

Python for Data Science

Learn Python with NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualisation.

Statistics & EDA

Build a strong foundation in descriptive statistics, probability, hypothesis testing, and exploratory data analysis.

Machine Learning

Master supervised and unsupervised learning — regression, classification, clustering, and ensemble methods.

Deep Learning & NLP

Build neural networks, CNNs, RNNs, and NLP pipelines with TensorFlow and scikit-learn.

Power BI Dashboards

Create interactive business dashboards in Power BI — data modelling, DAX, slicers, and publishing reports.

Model Deployment

Deploy machine learning models as REST APIs using Flask and host on cloud platforms.

Course Curriculum

What You'll Learn — Module by Module

Python Programming

Live sessions

IntroductionLIVE —

CommentsLIVE —

Data Types and VariablesLIVE —

Operators — Arithmetic, Assignment, Comparison, Logical, Identity, Membership, BitwiseLIVE —

Conditional StatementLIVE —

For Loops & While LoopsLIVE —

Array, List, Tuples, Sets, DictionariesLIVE —

Functions & LambdaLIVE —

Error HandlingLIVE —

Introduction to OOP — Class, Objects, Inheritance, Polymorphism, EncapsulationLIVE —

Working With Files — Read, Write, Append, Create, DeleteLIVE —

Doubt Clearing Session + RecordingREC —

NumPy, Pandas & Matplotlib

Live sessions

Introduction to NumPyLIVE —

NumPy ArraysLIVE —

NumPy FunctionsLIVE —

Working with Multiple DimensionsLIVE —

Introduction to PandasLIVE —

DataFrames BasicsLIVE —

Indexing and Selecting DataLIVE —

Data ManipulationLIVE —

Introduction to MatplotlibLIVE —

Customizing PlotsLIVE —

Introduction to Seaborn LibraryLIVE —

Statistics & Probability

Live sessions

Descriptive Statistics — Mean, Median, Mode, Variance, Standard DeviationLIVE —

Probability Theory & DistributionsLIVE —

Normal, Binomial, Poisson DistributionsLIVE —

Hypothesis Testing — Z-test, T-test, Chi-SquareLIVE —

Confidence IntervalsLIVE —

Correlation & CovarianceLIVE —

Exploratory Data Analysis (EDA)LIVE —

Feature Engineering & SelectionLIVE —

Machine Learning

Live sessions

Introduction to Machine LearningLIVE —

Supervised Learning — RegressionLIVE —

Linear Regression & Multiple RegressionLIVE —

Supervised Learning — ClassificationLIVE —

Logistic RegressionLIVE —

Decision Tree & Random ForestLIVE —

Support Vector Machine (SVM)LIVE —

K-Nearest Neighbors (KNN)LIVE —

Naive BayesLIVE —

Unsupervised Learning — K-Means ClusteringLIVE —

Principal Component Analysis (PCA)LIVE —

Model Evaluation — Accuracy, Precision, Recall, F1, ROC-AUCLIVE —

Cross-Validation & Hyperparameter TuningLIVE —

Ensemble Methods — Bagging & BoostingLIVE —

Deep Learning & NLP

Live sessions

Introduction to Deep LearningLIVE —

Artificial Neural Networks (ANN)LIVE —

Convolutional Neural Networks (CNN)LIVE —

Recurrent Neural Networks (RNN) & LSTMLIVE —

Transfer LearningLIVE —

Introduction to NLPLIVE —

Text Preprocessing — Tokenization, Stemming, LemmatizationLIVE —

Bag of Words & TF-IDFLIVE —

Sentiment AnalysisLIVE —

Word Embeddings — Word2Vec, GloVeLIVE —

Power BI

Live sessions

Introduction to Power BI DesktopLIVE —

Connecting to Data SourcesLIVE —

Data Transformation with Power QueryLIVE —

Data Modelling & RelationshipsLIVE —

DAX — Calculated Columns & MeasuresLIVE —

Visualizations — Bar, Pie, Line, Map, CardLIVE —

Slicers & FiltersLIVE —

Building Interactive DashboardsLIVE —

Publishing ReportsLIVE —

Model Deployment

Live sessions

Introduction to Model DeploymentLIVE —

Saving & Loading ML Models with PickleLIVE —

Building a Flask REST API for ML ModelsLIVE —

Deploying to Cloud — AWS / HerokuLIVE —

Version Control with Git and GitHubLIVE —

Certificate Award SessionLIVE —

What You'll Learn

Python for data science

NumPy, Pandas, Matplotlib, Seaborn

Statistics & probability

Exploratory Data Analysis (EDA)

Supervised & unsupervised ML

Deep learning — ANN, CNN, RNN, LSTM

NLP — tokenization, sentiment analysis

Power BI dashboard creation

DAX formulas & data modelling

Flask model deployment

Cloud deployment — AWS

Live Classroom 8–10 Months Certificate

Enroll Now

About Instructor

Learn from an Industry Expert

Prof. Santtosh Upadhyay

Lead Instructor — Data Science, CodeMines Academy

12+ Years Experience 100+ Students Mentored MSc Data Science, Dublin Business School (Ireland)

With over 12 years of extensive experience in software development, I bring a wealth of knowledge in PHP, .NET, Python, Java, and cloud technologies. My passion for teaching has led me to mentor and educate more than 100 students across various courses, including web development and app development.

I am dedicated to providing a comprehensive and engaging learning experience, helping students to not only grasp the fundamentals but also master advanced concepts. Join me on this educational journey and unlock your full potential in the world of technology. Don't miss out on our special offers.

FAQs

Frequently Asked Questions

Our counsellors are available Mon–Sat, 9am–7pm IST.

Call Us Now

Is a demo lecture available?

Yes. A free demo lecture is available. Contact us via WhatsApp or phone to schedule.

Do I need prior programming experience?

No prior experience is required. Anyone who wants to learn from Basics to Advanced Level is welcome.

Is this a classroom or online course?

This is a live, classroom-based course with in-person instruction.

What language are classes taught in?

Classes are conducted in English, Hindi, and Marathi.

Will I get a certificate?

Yes. An industry-recognized certificate is awarded on successful completion of all modules and assessments.

Is job assistance included?

Yes. Job assistance including resume preparation, mock interviews, and placement support is included.

Does the instructor have a Data Science background?

Yes. Prof. Santtosh Upadhyay holds an MSc in Data Science from Dublin Business School, Ireland.

Will I build real Data Science projects?

Yes. You will work on real datasets and build complete end-to-end ML pipelines that you can showcase in your portfolio.

Master Data Science
with Live Instructor-Led Training

Data Science

What This Course Covers

Python for Data Science

Statistics & EDA

Machine Learning

Deep Learning & NLP

Power BI Dashboards

Model Deployment

What You'll Learn — Module by Module

Python Programming

NumPy, Pandas & Matplotlib

Statistics & Probability

Machine Learning

Deep Learning & NLP

Power BI

Model Deployment

Our Students Are Getting Hired

Learn from an Industry Expert

Frequently Asked Questions

Is a demo lecture available?

Do I need prior programming experience?

Is this a classroom or online course?

What language are classes taught in?

Will I get a certificate?

Is job assistance included?

Does the instructor have a Data Science background?

Will I build real Data Science projects?

Ready to Launch a Data Science Career?

Master Data Sciencewith Live Instructor-Led Training

Data Science

What This Course Covers

Python for Data Science

Statistics & EDA

Machine Learning

Deep Learning & NLP

Power BI Dashboards

Model Deployment

What You'll Learn — Module by Module

Python Programming

NumPy, Pandas & Matplotlib

Statistics & Probability

Machine Learning

Deep Learning & NLP

Power BI

Model Deployment

Our Students Are Getting Hired

Learn from an Industry Expert

Frequently Asked Questions

Is a demo lecture available?

Do I need prior programming experience?

Is this a classroom or online course?

What language are classes taught in?

Will I get a certificate?

Is job assistance included?

Does the instructor have a Data Science background?

Will I build real Data Science projects?

Ready to Launch a Data Science Career?

Master Data Science
with Live Instructor-Led Training