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Home > Courses > Data Science & Analytics

Data Analysis and Visualization using Python

Accelerate your Career

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

4 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
About Curriculum Key Features Certificate Testimony FAQs

Data Analysis and Visualization using Python

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 — Python Programming for Data Analysis

Matplotlib - Introduction
Matplotlib PyLab
MATPLOTLIB - Figure Function
MATPLOTLIB - II
MATPLOTLIB- SUBPLOT
Seaborne Introduction
Seaborne - Joint Plot
Seaborne- Joint Plot & Sub plot

M2

Module 2 — Data Processing and Analytics

Google Co Lab - Introduction
Google Co Lab - II
Google Co Lab - Graphical Output
Date & Time Introduction - I
Date & Time Introduction - II
Date & Time Introduction Arithmetic
Data Wrangling Introduction
Data - Grouping & Wrangling
Data - Concat

M3

Module 3 — Statistics for Data Science

Statistical_analysis
Statistical_analysis
Mean , Median & Mode
Statistical_analysis_II
Types of distribution-I
Types of distribution-II
Types of distribution-III
Poisson Distribution
Chi Square Test
Correlation - III

M4

Module 4 — Business Intelligence and Reporting

Tableau - I
Tableau Installation
Tableau - Visual Analysis
Analysing_different_data_sources
Combining fields & dashboards
Power BI - Introduction
Power BI - Architecture
Power BI - Data Source
Power BI - Dashboard
Power BI - Data Visuvalisation

Capstone Project

The Python Data Analytics Portfolio

Apply your skills to solve real-world industry challenges by building a professional portfolio of analytics projects.

An Interactive Business Intelligence Dashboard featuring multi-layered Seaborn visualizations.
PROJECT

An Interactive Business Intelligence Dashboard featuring multi-layered Seaborn visualizations.

Access hands-on simulation modules to master production level engineering challenges.

A robust Data Wrangling Pipeline that automates the cleaning and transformation of messy datasets.
PROJECT

A robust Data Wrangling Pipeline that automates the cleaning and transformation of messy datasets.

Access hands-on simulation modules to master production level engineering challenges.

A Formal Statistical Analysis Report using hypothesis testing to validate business assumptions.
PROJECT

A Formal Statistical Analysis Report using hypothesis testing to validate business assumptions.

Access hands-on simulation modules to master production level engineering challenges.

A GitHub repository showcasing clean, documented Python notebooks in Google Colab.
PROJECT

A GitHub repository showcasing clean, documented Python notebooks in Google Colab.

Access hands-on simulation modules to master production level engineering challenges.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

Python
Matplotlib
Seaborn
Pandas
NumPy
Google Colab
Jupyter Notebook
Career Impact

After this Course, You will be Able to

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

Architect professional-grade visualizations that reveal hidden trends in complex datasets.
Engineer reproducible data processing pipelines to automate manual reporting tasks.
Apply rigorous statistical tests like Chi-Square and Correlation to drive evidence-based decisions.
Manipulate high-dimensional data including time-series and categorical datasets with Python.
Leverage cloud-based IDEs like Google Colab for rapid experimentation and collaborative analysis.

Course Stats

₹10.5 LPA

Average Salary

₹38 LPA

Highest Salary

120%

Salary Hike

9,500+

Job Vacancies

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.

"d"
Student Pantech

Student Pantech

VERIFIED LEARNER
"done"
Student Pantech

Student Pantech

VERIFIED LEARNER
"Nice Courses"
Organization Pantech

Organization Pantech

VERIFIED LEARNER
"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."
Student Pantech

Student Pantech

VERIFIED LEARNER

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

Need immediate counseling?

+91 8925533488/89

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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