Data Visualization Course with NumPy, Pandas & Matplotlib

Beginner to Advanced with Certification

Data Visualization is one of the most valuable skills in today's data-driven world and plays a crucial role in turning complex data into clear, actionable insights. Join this comprehensive Data Visualization crash course to learn how to visualize and present data effectively using NumPy, Pandas, and Matplotlib. Through hands-on practice and real-world examples, develop strong visual storytelling skills and move one step closer to a successful career in analytics and business intelligence.

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Please Check All Boxes Where Your Answer is Yes

I want to learn how to visualize data effectively but don't know where to start.

I need to transform raw data into clear, meaningful charts and graphs that tell a story.

I want to use Python tools like NumPy, Pandas, and Matplotlib to create impactful visualizations.

I want to identify trends, patterns, and insights through exploratory data visualization.

I want to present data in a way that is easy for stakeholders to understand and act upon.

I'm looking for hands-on practice and best practices to build strong data visualization skills for real-world projects and career growth.

Data visualization with NumPy, Pandas & Matplotlib - Course Highlights

Unlock the Power of Data Visualization with These Key Features.

Comprehensive Curriculum

Learn the fundamentals and advanced concepts of data visualization using NumPy, Pandas, and Matplotlib, from data loading and cleaning to advanced analysis techniques.

Gain in-depth insights into data manipulation, numerical computations, to transform raw data into meaningful insights.

Hands-on Learning

Learn by doing real-world datasets, case studies, and interactive analytics projects.

Perform data visualization using NumPy, Pandas, and Matplotlib on practical use cases.

Practice data cleaning, transformation, exploratory analysis, and visual storytelling to extract meaningful insights.

Expert-Led Training

Learn from experienced data visualization professionals with strong industry and real-world project exposure.

Get expert guidance on visualization best practices, efficient data handling with Python, performance optimization, and effective data visualization techniques.

Who is this Crash Course for?

This course is designed for anyone looking to master data visualization using Python tools like NumPy, Pandas, and Matplotlib. Whether you're a student, working professional, or career switcher, this beginner-friendly course will help you turn raw data into clear, meaningful visuals and communicate insights effectively.

Students & Freshers
Aspiring Data Analysts
Business Analysts
Aspiring Analytics Professionals
Entrepreneurs & Startups
Finance & Operations Teams

How Does Data visualization Course Work?

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Learn

Upskill yourself by gaining insights from leading professionals' vast experience.

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Practice

Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.

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Ask

Get your queries resolved in real-time and actively discuss strategies with a discord community.

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Build

Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your data analytics skills.

Syllabus

  • Introduction
  • 1D Array
  • 2D Array
  • 2D Array using Methods
  • 3D Array
  • List & Numpy Array
  • Random Array & Data Type
  • Indexing & Slicing
  • View & Copy
  • Boolean Indexing
  • Basic operations
  • Dot Product
  • Comparison & Logical operator
  • 1D Array Computation
  • 2D Array Computation
  • Assignment
  • Broadcasting
  • 1D to 2D
  • Broadcasting II
  • Flattening, Reshape & Shuffling
  • Sort
  • Quiz

  • Why Pandas?
  • Creating Series
  • Creating Series II
  • Creating Series III
  • Creating Series IV
  • Attributes
  • Built-in Functions
  • Bulit-in Functions II
  • Built-in Functions III
  • Sorting (inplace)
  • Built-in Functions IV
  • Built-in Functions V
  • In Keyword
  • Indexing & Slicing
  • Index Customization
  • get() method
  • Value_counts()
  • apply()
  • map()
  • Quiz

  • Creating Dataframe I
  • Creating Dataframe II
  • Index & Column
  • Concept of Axis
  • Mathematical Operations
  • New Column
  • Quiz

  • Dropping Null Values
  • Fill NULL Values
  • Datatype Best Practices
  • Sorting
  • Ranking
  • Quiz

  • Mask Filtering
  • isin() method
  • NULL Filtering
  • between() method
  • Find Duplicates
  • Treating Duplicates
  • Distinct Count
  • Quiz

  • Customized Index
  • Access Dataframe I
  • Access Dataframe II
  • Access Dataframe III
  • Updating Values
  • Index Rename
  • Column Rename
  • Delete Rows
  • Random Sample
  • Largest Value
  • where() method
  • query() method
  • apply() method
  • Quiz

  • Basic Methods
  • Method Chaining
  • String Method Filter
  • Index & Column Format
  • Split Method
  • Quiz

  • Multi-Index
  • Index Details
  • Index Names
  • Sort Index
  • Data Extraction
  • EDA Projects
  • Quiz

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A detailed overview of the course, including key topics, objectives, and module sequence.

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Official and verified

Receive an instructor signed certificate with the institution’s logo to verify your achievements and increase your job prospects.

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Add the certificate to your CV or your resume or post it directly on LinkedIn. You can even post it on Instagram and Twitter.

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Enhances Credibility

Use your certificate to enhance your professional credibility and stand out among your peers!

What Benefits You’ll Get After Course Completion?

Master Data Visualization with Python

Gain hands-on experience using NumPy, Pandas, and Matplotlib to visualize and present data clearly and effectively.

Analyze & Prepare Data for Visualization

Learn how to clean, transform, and structure real-world datasets to make them visualization-ready.

Create Clear & Insightful Visuals

Build impactful charts, graphs, and plots that communicate patterns, trends, and insights with clarity.

Strengthen Visual Thinking & Analytical Skills

Develop the ability to choose the right visuals and interpret data accurately through real-life case studies.

Work Confidently with Real-World Datasets

Handle structured datasets efficiently using industry-relevant tools and best visualization practices.

Boost Career Opportunities in Data & Analytics

Enhance your portfolio and improve job prospects in roles such as Data Analyst, Business Analyst, and BI or Analytics aspirant roles.

Top MNCs our students work in
Partner Companies
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Partner Companies
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Success Stories

Discover an inspiring playlist featuring Jobaaj's students' success stories. Witness Gauri's journey from career challenges to securing her dream job, and Simran's entrepreneurial triumph launching a thriving business with Jobaaj's support. From Savita reentering the workforce to diverse individuals unlocking their potential, explore transformative stories celebrating Jobaaj's empowering education impact.

Video Playlist
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Helping people to get placed in Digital Marketing | Jobaaj Learnings

10 Min 23 Sec

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From Sales & Customer Support domain to get placed in Data Analytics domain | Jobaaj Learnings

8 Min 2 Sec

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MBA from Tier 3 city to getting placed as an Investment Banker | Jobaaj Learnings Student Review

17 Min 25 Sec

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Know how Jobaaj Learnings helped Shubham to become Financial Analyst

13 Min 15 Sec

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14 Min 11 Sec

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How Jobaaj Learnings help you after Graduation for Placement?

10 Min 8 Sec

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6 Min 33 Sec

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Hear from the Student of Jobaaj Learnings who got placed as Data Analyst after Bsc & Msc

7 Min 29 Sec

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9 Min 54 Sec

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How Himanshu got placed as a stock market analyst | Find out his complete jounrey

9 Min 8 Sec

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Vinay Kumar - Bcom - Career Gap - Data Analyst | Jobaaj Learnings Review

7 Min 7 Sec

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8 Min 9 Sec

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13 Min 38 Sec

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Data Analyst Students ( Must watch ) | Placed in Samsung | Jobaaj Reviews

14 Min 54 Sec

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12 Min 51 Sec

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Career Gap to Operations Data Analyst - Ishita Roy

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Sales/Civil background to Analytics Project Manager - Vipin Rao

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Interview for Management Consulting/Strategy Job | Jobaaj.com Review

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Placement in Management Consulting Domain | Jobaaj MCP Review

8 Min 16 Sec

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Feedback/Review of Jobaaj Learnings Investment banking Student

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Ishita Pandey Placed - Business Analyst (College Students Must Watch)

9 Min 4 Sec

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Placed as fresher data analyst - eClerx Pune

7 Min 20 Sec

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From HR to Performance Marketing | Mentor Interview with Student | Jobaaj Learnings

6 Min 29 Sec

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Placed in Capgemini - Associate Data Consultant

14 Min 56 Sec

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Electrical to Analytics Project Manager in Bescom || Jobaaj Data Student

8 Min 32 Sec

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1:1 Sessions Helped Me | Even an MBA Lacked Such Experience || Jobaaj Management Consulting Student

18 Min 27 Sec

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Offer Letter Received | Jobaaj Investment Banking Student

18 Min 40 Sec

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Offer Letter Received | Jobaaj Investment Banking Student

14 Min 55 Sec

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Offer Letter from an MNC | Jobaaj Investment Banking Student

15 Min 37 Sec

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Joining as a Financial Analyst | Jobaaj Investment Banking Student

15 Min 22 Sec

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Joining As a Financial Analyst | Jobaaj Investment Banking Student

18 Min 30 Sec

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Offer Letter From Factset | MNC - 12k Employees | Jobaaj Investment Banking Student

36 Min 36 Sec

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Non-tech background to BUSINESS ANALYST Journey || Jobaaj Data Student

14 Min 37 Sec

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Khushi Yadav || Restarting the Career after 5 Years of Career Gap || Jobaaj Data Student

20 Min 44 Sec

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Decoding the Interview Process After failing in 40+ Interviews || Jobaaj Data Student

18 Min 49 Sec

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Offer Letter From Preqin | Jobaaj Investment Banking Student

27 Min

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Fresher Data Analyst - Multiple offers from MuSigma & Expand my business

5 Min 49 Sec

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Jobless to Data Analyst Journey || CTLP student

11 Min 6 Sec

FAQs: Here’s everything you may ask...

Yes. A certificate will be issued to you after the successful completion of the course.

On completion of the payment, you get access to the course instantly.

If you encounter any issues, please don't hesitate to reach out to us at contact@jobaaj.com.

We think it's better to avoid having one big class with lots of students. In such settings, some students might feel shy about asking questions, while others might think those questions are wasting their time. Plus, with everyone's busy schedules, it can be hard to attend live classes at set times. That's why we offer interactive video lectures. You can watch them at your own pace and learn comfortably from home.

A desire to upskill, dedication to learn, and discipline to submit your assignments on time. We will take care of everything else

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