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Data Science & Machine Learning with Python

Accelerate your Career

Master Data Science and Machine Learning with Python—covering data analysis, visualization, statistics, and predictive modeling using Pandas, NumPy, Scikit‑Learn, and real‑world projects.

4 Modules
with Certifications
74:43 Hours
of Recorded Content
5.0 Ratings
by 567 Learners
English
Language
Paid Course
Get this Course @ ₹2,499
567 enrolled in this course
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Data Science & Machine Learning with Python

Data Science & Machine Learning with Python is a comprehensive program designed to equip learners with the skills needed to analyze data, build predictive models, and apply machine learning techniques to real‑world problems. The course begins with Python fundamentals, ensuring students gain confidence in programming concepts such as variables, loops, functions, and object‑oriented programming. From there, learners explore powerful libraries including Pandas, NumPy, and Matplotlib to handle, manipulate, and visualize datasets effectively.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

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

M1

Module 1: Foundations of Data Science

Introduction and Data Collection
Pandas for Data Science
Numpy for Data Science
Matplotlib and Seaborn for Data Science
Statistics 1
Statistics 2
Statistics 3

M2

Module 2: Applied Data Analysis & Visualization

Exploratory Data Analysis on Sales Dataset
World Population Dataset Analysis
Power BI Dashboard on Netflix Dataset

M3

Module 3: Machine Learning Algorithms & Libraries

Sklearn Library
Sklearn Library
Sklearn Library
ML Algorithm (Linear Models)
ML Algorithm (SVM, Decision Trees)
ML Algorithm (Ensemble Algorithms, Naive Bayes, KNN)

M4

Module 4: Model Optimization & Capstone Projects

Hyperparameter Tuning, Model Evaluation
Project – ML Classification Project
Predicting the Sales of Products for a FMCG Company

Capstone Project

Data Science & Machine Learning with Python

A practical guide to mastering core data science and machine learning using Python—covering data cleaning, feature engineering, algorithms, model evaluation, visualization, and end-to-end pipeline deployment.

Data Cleaning & Wrangling
PROJECT 1

Data Cleaning & Wrangling

Work with messy datasets, handle missing values, outliers, and inconsistent formats, and automate cleaning pipelines using Pandas and NumPy.

Exploratory Data Analysis & Visualization
PROJECT 2

Exploratory Data Analysis & Visualization

Use Matplotlib, Seaborn, and Plotly to uncover insights, visualize correlations, distributions, and trends, and apply statistical tests to validate findings.

Predictive Modeling for Business Analytics
PROJECT 3

Predictive Modeling for Business Analytics

Build regression and classification models, apply feature engineering and hyperparameter tuning, and evaluate models with ROC-AUC, RMSE, and F1-score.

Unsupervised Learning for Customer Segmentation
PROJECT 4

Unsupervised Learning for Customer Segmentation

Apply clustering algorithms like K-Means and DBSCAN, use PCA for dimensionality reduction, and visualize clusters to support marketing strategies.

End-to-End ML Pipeline Deployment
PROJECT 5

End-to-End ML Pipeline Deployment

Build reproducible pipelines with Scikit-Learn, save models with joblib/pickle, and deploy via Flask or FastAPI for real-time predictions.

CORE TOOLING MASTERY

Tech Stack

Master essential Python libraries and frameworks for data science, machine learning algorithms, model evaluation, and analytics.

Python & NumPy
Pandas & Data Wrangling
Scikit-Learn
Matplotlib & Seaborn
SciPy
Jupyter Notebook
TensorFlow / PyTorch

Course Stats

₹12 LPA

Average Salary in Data Science & ML Roles

₹40 LPA

Highest Salary in AI/ML Engineering Roles

90%

Average Salary Hike after Data Science Specialization

15,000+

Job Openings in Data Science & AI

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
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What Our Students Say

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HAVE QUESTIONS?

Frequently Asked Questions

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

Do I get lifetime access to the course content?

Yes, once enrolled, you have complete lifetime access to all learning materials, recorded videos, and resources.

Will I receive a certificate upon completion?

Absolutely. A globally recognized, industry-vetted digital certificate is provided upon successful completion of the curriculum.

Is there a refund policy?

Yes, we offer a 7-day money-back guarantee if you are not satisfied with the course content or delivery format.

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