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Data Science & Applied Machine Learning Practitioner

Accelerate your Career

Become a Data Science & Applied Machine Learning Practitioner. Learn Python, ML algorithms, model deployment, and real-world applications.

4 Modules
with Certifications
17:32 Hours
of Recorded Content
5.0 Ratings
by 1956 Learners
English
Language
Paid Course
Get this Course @ ₹4,999
1956 enrolled in this course

Data Science & Applied Machine Learning Practitioner

A practical, industry‑aligned data science program: data cleaning, EDA, feature engineering, classical ML, model evaluation, visualization, and business storytelling with Power BI/Tableau.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1 – Python & Data Analytics Foundations

Introduction and Overview
Python Basics
Python Data Structures
Python Programming Fundamentals
Python for Data Analytics – Pandas
Numpy Libraries
Python for Data Analytics – Matplotlib
Python for Data Analytics – Seaborn

M2

Module 2 – Data Preparation & Exploration

Data Collection, Data Wrangling & Data Cleaning
Exploratory Data Analysis (EDA) & Visualization
Statistics and Probability
Machine Learning Introduction and Overview
Preprocessing Data
Feature Selection and Feature Engineering
Handling Missing Values
Encoding the Categorical Variables

M3

Module 3 – Machine Learning & Visualization Tools

Supervised Machine Learning
Unsupervised Machine Learning
Introduction to Tableau
Customer Analysis – Tableau
Introduction to Power BI
Product Analysis – Power BI
Credit Score Classification
Stress Prediction using Machine Learning

M4

Module 4 – Projects & Final Applications

Social Media Ads Classification
Electricity Price Prediction
Ground Water Level Prediction
Drowsiness Detection System
Churn Analysis in Data Science
Chat Bot Project
Data Science Final Summary

Capstone Project

Applied Data Science Project Portfolio

Go from Python and statistics to supervised and unsupervised learning, then deliver real projects in pricing, resource forecasting, churn analysis and conversational AI.

PROJECT

Electricity price prediction.

Forecast energy prices from historical and market data.

PROJECT

Ground water level prediction.

Predict water levels to support resource planning.

PROJECT

Customer churn analysis.

Identify which customers are at risk of leaving and why.

PROJECT

Chatbot project.

Build a conversational assistant that answers user questions.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
Tableau
Power BI
OpenCV
Career Impact

After this Course, You will be Able to

Observe the real-world utility outcomes you gain after program completion.

Analyse data in Python with Pandas, NumPy, Matplotlib and Seaborn.
Collect, wrangle, clean and explore data using statistics and probability.
Preprocess data with feature engineering, missing value handling and encoding.
Build supervised and unsupervised machine learning models.
Create customer and product dashboards in Tableau and Power BI.
Deliver projects in ads classification, price and water level prediction, drowsiness detection, churn and chatbots.

Course Stats

₹12.35 LPA

Average Salary

₹42 LPA

Highest Salary

135%

Salary Hike

7+ Companies

Hiring Partners

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

We are Accredited by

Our Awards & Achievements
Award 1
VERIFIED STUDENT REVIEWS

What Our Students Say

See how Pantech courses accelerated career transitions across India.

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VERIFIED LEARNER

Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.

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HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

Will I learn SQL?

Yes — essential queries and joins for data extraction.

Is Tableau/Power BI covered?

Both — modules and case studies included

What prior knowledge is required for this course?

Basic familiarity with Python programming and statistics is recommended. However, the course starts with fundamentals, so motivated beginners can also follow along.

Will I get hands‑on project experience?

Yes. You’ll work on real‑world projects such as Titanic survival prediction, house price regression, customer segmentation, and building interactive dashboards with Power BI/Tableau.

Is this course suitable for career transitions into data science?

Absolutely. The curriculum is designed to bridge theory and practice, making it ideal for professionals transitioning into data science or machine learning roles.

Will I learn deployment and visualization techniques?

Yes. Beyond model training, you’ll learn how to deploy ML models using Python frameworks and present insights through dashboards in Power BI or Tableau.

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