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Python for Analytics

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

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₹799
4 Modules
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10:00 Hours
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Python for Analytics Course
Overview

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

    We are Accredited by

    Our Awards & Achievements
    Award 1

    Python for Analytics Course Roadmap

    01
    Module 1

    Module 1 — Python for Data Science

    Python Introduction
    Applications of python
    Python Variable types
    Python Anaconda navigator download
    02
    Module 2

    Module 2 — Advanced Python Programming

    Python Tuples
    Tuples and dictionaries
    Python Classes and Objects
    Python class and inheritance
    03
    Module 3

    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
    04
    Module 4

    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

    Let Your Certificates Speak

    Certificate Preview
    Shareable on LinkedIn
    • Certificates are globally recognized & they upgrade your programming profile.
    • Certificates are generated after the completion of course.

    After this Course, You will be Able to

    • Grasp FPGA architecture and microcontroller workings for advanced understanding
    • Build circuits, ranging from basic LEDs to intricate, sensor-driven projects
    • Master the HDL IDE, enabling proficient coding for real-world applications
    • Utilize breadboards and electronic components with precision for efficient circuitry
    • Create groundbreaking solutions by integrating sensors and motors innovatively
    • Explore diverse projects, from basic LEDs to complex motion-activated systems

    Where Our Students Work

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

    Flipkart
    Freshworks
    Juspay
    Chargebee
    Zoho
    PayPal

    All You Need to Start this Course

    💻
    A computer with internet connection
    🧠
    Willingness to learn new concepts

    This is the Course for You, If You are

    🎓
    Students looking to upskill
    💼
    Working Professionals
    🚀
    Career changers seeking a pivot

    Learners Reviews

    "
    User
    Aditi Sharma
    The step by step approach from basics to real time FPGA projects made the concepts crystal clear. I especially loved the UART implementation—it gave me confidence to handle hardware communication protocols.
    "
    User
    Rahul
    This course bridges the gap between theory and practice. Programming the MAX10 FPGA board and controlling GPIOs gave me the kind of exposure that’s directly useful for internships and entry level roles in VLSI design.
    "
    User
    Priya Nair
    I came in with only basic digital electronics knowledge. The way Verilog was introduced and gradually applied to sequential circuits and FSMs was perfect. By the end, I could write and test my own HDL codes on Quartus.

    Still Having Doubts?

    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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