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Data Analysis and Visualization using Basic(Tamil)

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Learn data analysis and visualization with Python. Explore data cleaning, statistical analysis, and interactive visualizations using Pandas, Matplotlib, and Seaborn.

1 Modules
with Certifications
10:59 Hours
of Recorded Content
4.6 Ratings
by 1562 Learners
English
Language
Paid Course
Get this Course @ ₹1,499
1562 enrolled in this course

Data Analysis and Visualization using Basic(Tamil)

Data Analysis and Visualization using Python equips learners with practical skills required to process, analyze, and visualize structured datasets using modern Python libraries. Beginning with visualization fundamentals in Matplotlib and Seaborn, the course progresses into data wrangling, Google Colab workflows, date-time processing, and advanced analytical techniques. Learners also gain a solid understanding of statistical concepts including distributions, hypothesis testing, correlation analysis, and descriptive statistics that form the backbone of data-driven decision making. The curriculum is designed to prepare aspiring analysts and data professionals for real-world analytics tasks while establishing a strong foundation for advanced machine learning and artificial intelligence programs.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

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

M1

Module 1 – Data Analysis with Pandas

Coures intro Tamil
Introduction to Pandas and DataFrames
Numpy
Project

Capstone Project

Data Analysis & Visualisation Project

Take a real dataset from raw files to insight: clean it with Pandas and NumPy, explore it visually, then build machine learning, NLP and deep learning models that make predictions.

PROJECT

An end-to-end data science project in Python.

Apply the full workflow, from data cleaning to model predictions, on a real dataset.

CONCEPT

Data handling with Pandas and NumPy.

Load, clean and transform datasets with fast array operations.

CONCEPT

Data visualisation with Matplotlib and Seaborn.

Turn raw numbers into clear charts that reveal trends and patterns.

CONCEPT

Machine learning, NLP and deep learning with Scikit-learn, NLTK and Keras.

Build classic ML models, process text and train neural networks.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
NLTK
Keras
Jupyter Notebooks
Career Impact

After this Course, You will be Able to

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

Write Python programs using core syntax, data structures and functions.
Model real-world entities in code with classes and objects.
Load, clean and analyse data with Pandas and NumPy.
Visualise data and spot patterns with Matplotlib and Seaborn.
Build and evaluate machine learning models with Scikit-learn.
Process text with NLTK and build neural networks with Keras.

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

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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 modules. Advanced topics may recommend basic knowledge in programming or electronics.

2. What if I face technical issues?

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

3. What will I learn in this course?

You’ll cover: Python basics for data analysis Data cleaning and preprocessing Statistical analysis and insights Interactive visualizations using Pandas, Matplotlib, and Seaborn Real-world applications in analytics and reporting

4. How long is the course?

The program includes 4 structured modules, designed to be completed at your own pace, typically within 90 days.

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 Data Analysis and Visualization course is available for ₹1,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in a guided analytics project, such as building interactive dashboards or performing statistical analysis, 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.

9.Which visualization libraries are covered?

Learners will work extensively with Matplotlib and Seaborn, two of the most widely used Python visualization libraries.

10.Is Google Colab included in the curriculum?

Yes. The course introduces Google Colab and demonstrates cloud-based data analysis workflows.

11.Will I learn data wrangling techniques?

Absolutely. Data grouping, concatenation, preprocessing, and transformation are core components of the program.

12.Can this course prepare me for machine learning?

Yes. The statistical analysis, visualization, and data preparation skills taught in this course provide an excellent foundation for advanced machine learning and data science programs.

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