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Python for Analytics

Accelerate your Career

Learn Python for data science and analytics. Master data handling, visualization, and machine learning with hands-on projects.

4 Modules
with Certifications
10:00 Hours
of Recorded Content
5.0 Ratings
by 3000 Learners
English
Language
Paid Course
Get this Course @ ₹799
3000 enrolled in this course
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Python for Analytics

MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

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

M1

Module 1 — Python for Data Science

Python Introduction
Applications of python
Python Variable types
Python Anaconda navigator download

M2

Module 2 — Advanced Python Programming

Python Tuples
Tuples and dictionaries
Python Classes and Objects
Python class and inheritance

M3

Module 3 — Data Manipulation using Pandas

Pandas Introduction
Pandas Datastructures
Pandas series input
Pandas Dictonary
Pandas access series elements
Pandas Data frames
Pandas Data frames- II
Pandas Data frames- III

M4

Module 4 — Numerical Computing using NumPy

Numpy Introduction
Numpy Arrays
Numpy Shapes & Attributes
Numpy Slicing - I
Numpy - Simple Plot
Numpy Slicing - II Numpy Floor Function
Numpy Floor Function

Python has become the most popular programming language for data science and analytics due to its simplicity, versatility, and powerful ecosystem of libraries. This course on Python for Data Science and Analytics is designed to equip learners with the essential skills needed to analyze data, build models, and generate insights that drive decision-making.


You will begin with Python basics, including data structures, functions, and control flow, before moving into specialized libraries such as Pandas for data manipulation, NumPy for numerical computing, and Matplotlib and Seaborn for data visualization. These tools will allow you to clean, transform, and explore datasets effectively.


The course then introduces statistical analysis and machine learning fundamentals using Scikit-learn. You will learn how to build predictive models, evaluate their performance, and apply them to real-world problems. Topics include regression, classification, clustering, and dimensionality reduction.


By the end of this course, you will be able to:
 
  • Write efficient Python code for data analysis tasks.
    •  
  • Manipulate and clean datasets using Pandas and NumPy.
    •  
  • Create compelling visualizations to communicate insights.
    •  
  • Apply machine learning algorithms to solve predictive problems.


    • This course is ideal for beginners, students, and professionals who want to transition into data science or enhance their analytical skills. With 90 days of access, you can learn at your own pace and revisit the material whenever needed. Whether you are preparing for a career in analytics or simply want to understand how data drives modern business, this course provides the essential toolkit to succeed.


    Python Logo
    Pandas Logo
    Scikit-learn Logo

    Course Stats

    ₹12.35 LPA

    Average Salary

    ₹42 LPA

    Highest Salary

    135%

    Salary Hike

    7+ Companies

    Hiring Partners

    Capstone Project

    Real challenges. Real solutions. Your portfolio will feature these production-grade applications.

    Multi Level Inverter Design
    PROJECT

    Multi Level Inverter Design

    High-efficiency inverter system used to generate multiple voltage levels for improved power quality.

    Learn More →
    Battery Charger Design
    PROJECT

    Battery Charger Design

    Controlled charging system for safe and efficient battery energy storage management.

    Learn More →
    BLDC Motor Speed Control using Chopper
    PROJECT

    BLDC Motor Speed Control using Chopper

    DC-DC chopper based control method for efficient speed regulation of BLDC motors.

    Learn More →
    PMSM Motor Speed Control using Chopper
    PROJECT

    PMSM Motor Speed Control using Chopper

    Chopper-based drive system for precise and efficient control of PMSM motor speed.

    Learn More →

    Industry Standard Tools & Technologies

    Master the primary simulation and hardware tools used by electrical engineers globally.

    ...

    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.

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    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.

    1. Do I need prior experience?

    No prior experience is required for foundational courses. Advanced modules may recommend basic knowledge in programming or statistics.

    2. What if I face technical issues?

    You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / +91 89255 334 89.

    3. What will I learn in this course?

    You’ll cover Python basics, data handling, visualization, analytics workflows, machine learning fundamentals, and practical applications with hands‑on projects.

    4. How long is the course?

    The program includes 4 structured modules, designed to be completed at your own pace, typically within 4–6 weeks

    5. Will I get a certificate?

    Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers

    6. What is the course fee?

    The Python for Data Science and Analytics course is available for ₹799, inclusive of all modules and certification

    7. Is there any project work included?

    Yes, you’ll apply your skills in a guided data science mini‑project to reinforce concepts and demonstrate practical learning outcomes

    8. Can I access the course materials anytime?

    Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.

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