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Data Analyst Course Overview

The HCL GUVI Data Analyst Bundle gives you complete access to a comprehensive Data Analyst learning path. Master Data Visualization using Excel , Python zero hero , Data Analytics Using Pandas , and more. Learn at your own pace, build hands-on skills, gain globally recognized certifications, and prepare for high-paying roles in data analytics.

Globally Recognized Certification

100% Online & Self-Paced Learning

Lifetime Access to Courses

24/7 Dedicated Forum Support

Platform to practice SQL

7-Day Refund Policy

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  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
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  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
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  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
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  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
Please fill all the required fields!
Please accept terms and conditions to proceed

Data Analyst Course Overview

The HCL GUVI Data Analyst Bundle gives you complete access to a comprehensive Data Analyst learning path. Master Data Visualization using Excel , Python zero hero , Data Analytics Using Pandas , and more. Learn at your own pace, build hands-on skills, gain globally recognized certifications, and prepare for high-paying roles in data analytics.

Globally Recognized Certification

100% Online & Self-Paced Learning

24/7 Dedicated Forum Support

Platform to practice SQL

Lifetime Access to Courses

7-Day Refund Policy

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5K people registered already!

Name*
Phone*
  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
Please fill all the required fields!
Please accept terms and conditions to proceed

Who This Course Is Perfect For

Students

Who loves to play with data, build strong fundamentals, and earn certificates that add weight to their resume.

Freshers

Who need job-ready skills, projects, and a portfolio to stand out during placement drives and interviews.

Working Professionals

Who are looking for a salary hike, skill upgrade, or career growth by mastering in-demand technologies.

Career Switchers

From both tech and non-tech backgrounds who want to transition into a high-growth tech career with practical, industry-aligned learning.

We are accredited by 

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Data Analytics Bundle Curriculum

What You Will Learn in the Data Analytics Bundle

Python Zero-to-Hero

Data Analytics Using Pandas

Excel Visualization

Matplotlib in Python

Plotly Dash

Power BI Dashboards with Python Data

Get Access to Top Data Analyst Courses with Globally Recognized Certifications

₹9,999 → ₹1499    You Save ₹8,500!

Limited Period Offer 

Earn Industry-Recognized Certificates

Each time you complete a course in the Data analytics Bundle, you’ll receive a professional certificate issued by HCL GUVI (an IIT-M & IIM-A incubated EdTech company). All certificates are ISO-certified, globally recognized, and shareable on LinkedIn and resumes, helping you showcase your skills, boost your profile, and stand out to recruiters.

Earn Industry-Recognized Certificates

Each time you complete a course, you’ll receive a professional certificate issued by HCL GUVI (an IIT-M & IIM-A incubated EdTech company). All certificates are ISO-certified, industry-recognized, and easily shareable on LinkedIn and in your resume, helping you enhance your profile and stand out to recruiters.

Industry-Recognized Credentials

Get certificates that are valued by recruiters and tech companies.

Shareable on LinkedIn

Add every completed-course certificate to LinkedIn and impress potential employers with consistent growth.

Proof of Real Skills

Every certificate reflects practical knowledge and tools you’ve mastered — evidence of real, job-ready skills.

Resume-Ready Format

Download each certificate instantly and attach it to job applications, portfolios, and resumes effortlessly.

Earn Industry-Recognized Certificates

Each time you complete a course in the Data analytics Bundle, you’ll receive a professional certificate issued by HCL GUVI (an IIT-M & IIM-A incubated EdTech company). All certificates are ISO-certified, globally recognized, and shareable on LinkedIn and resumes, helping you showcase your skills, boost your profile, and stand out to recruiters.

Industry-Recognized Credentials

Get certificates that are valued by recruiters and tech companies.

Shareable on LinkedIn

Add every completed-course certificate to LinkedIn and impress potential employers with consistent growth.

Proof of Real Skills

Every certificate reflects practical knowledge and tools you’ve mastered — evidence of real, job-ready skills.

Resume-Ready Format

Download each certificate instantly and attach it to job applications, portfolios, and resumes effortlessly.

Certify Your Skills with the Premium Pass

Bonus Features You Get

CodeKata

An interactive coding platform with 1500+ curated problems by IT experts. CodeKata tracks your progress and builds a coding profile to highlight your skills for job opportunities.

WebKata

WebKata is a developing practice platform for beginners, built with top-notch web development problem statements focusing on Modern HTML, CSS, and JavaScript. 

SQLKata

SQLKata is a hands-on tool to master SQL through concept-driven exercises. It builds skills in query writing, optimization, and real-world database management.

Debugging

Debugging a series of programs curated by industry experts. Practicing debugging will help you get started and become familiar with programming. 

What Our Learners Say

Real Stories. Real Outcomes.

"You will be lucky to find quality courses on HCL GUVI. I must say that I was really lucky to get courses at such a low and discounted price. I got more than 9 hours of video and around 20 more resources to gain knowledge of programming. HCL GUVI provides a wide variety of courses both technical and non-technical. I suggest HCL GUVI is the best choice."

IT Analyst

"What makes HCL GUVI different is that it provides vernacular courses which make it easy to understand & practice platforms like CodeKata & WebKata, all these helped me improve my practical programming skills in the front end, back end. I highly recommend it if you want to get started with something new."

Software Developer

"I have opted for a combo-course that starts with the basics of the popular technologies and made me a pro in its domain... Codekata is very damn helpful to crack placements because it improved my efficiency in coding... we just need to be persistent and that’s all it takes. I am very happy to encounter HCL GUVI!"

Web Developer

Frequently Asked Questions

What do I actually get with this bundle?

You’ll get full access to all our Data Analyst courses — from Data Visualization using Excel , Python zero hero , Data Analytics Using Pandas and much more . Every course comes with hands-on labs, real projects, expert support, and certificates when you finish.

Do I have to pay every month?

Nope! It’s a one-time payment of ₹1499. No hidden or recurring fees.

How long can I access the courses?

You’ll have lifetime access — learn at your own pace, anytime, anywhere.

Will I get certificates?

Yes! Every course you complete gives you a globally recognized certificate that you can show on your LinkedIn profile or resume.

Are the lessons live or pre-recorded?

All lessons are pre-recorded, so you can study whenever it fits your schedule — mornings, evenings, or weekends.

Will I get to practice what I learn?

Absolutely. The bundle includes hands-on labs, real-world projects, and CTF challenges so you can actually apply your skills.

What if I’m not happy with the bundle?

No problem! There’s a 7-day money-back guarantee. If it’s not right for you, just request a refund within the first week.

Special Offer — Limited Time Only!

Get unlimited access to 600+ Premium Tech Courses for just 

₹1,999  (original price  ₹50,000) 

Save 80% and learn the most in-demand skills that can fast-track your tech career!

Limited Period Offer

Get Access to Top Data Analyst Courses with Globally Recognized Certifications

₹9,999 → ₹1499    You Save ₹8,500!

Limited Period Offer

Special Offer — Limited Time Only!

Get unlimited access to the complete Data analytics Bundle

₹1499 (original price ₹9,999)!

Limited Period Offer

Special Offer — Limited Time Only!

Get unlimited access to 600+ Premium Tech Courses for just 

₹1,999  (original price  ₹50,000) 

Save 80% and learn the most in-demand skills that can fast-track your tech career!

Limited Period Offer

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Power BI Dashboards with Python Data
Beginner Module
  • Python with Power Bi Introduction
  • Flowchart
  • Installing Power BI Desktop and Configuring Python Integration
  • Power Bi with Python booster - 1
  • Data Import using Python Script
  • Creating DAX Measures in Power BI
  • Power Bi with Python booster - 2
  • Building the Sales Analysis Dashboard in Power BI
  • Power Bi with Python booster - 3
  • Course completion Power Bi with Python
Power BI
Beginner Module
  • Introduction of Power BI
  • Real Life Scenarios
  • Power BI Interface Overview
  • Connecting to Data Sources & Import vs Direct Query
  • Power Query:Cleaning , Shaping and loading data
  • Pivot and Unpivot
  • Append and Merge
  • Group By
Intermediate Module
  • Filtration and Conditional Column
  • Introduction of Data Modeling in Power BI -1
  • Creating Relationships in Power BI
  • Introduction of DAX
  • Basic DAX columns vs Measure
  • Filter Context vs Row Context
  • Calculate
  • All vs AllSelected vs Allexcept
Advanced Module
  • IF, Switch and Logical Operators
  • Text Functions
  • Date Functions
  • Time Intelligence Dax
  • Single Chart, Pie Chart, Gauge Chart
  • Linechart, Barchart, TOPN
  • Filteration and Edit Interactions
Expert Module
  • Bookmarks
  • Drill Up and Drill Through
  • Parameters
  • Custom Visuals
  • Publish the Report
  • Final Project -Loading and Transforming
  • Final Project -Modeling
  • Final Project -Calendar Table
  • Final Project -Measures
  • Final Project -Add Visuals
  • Final Project -UI/UX and Publish the Report
Plotly Dash
Beginner Module
  • Course Introduction
  • Flow Chart
  • Getting Started with Plotly
  • Getting Started with Plotly (AI-Enhanced)
  • Core Visualizations in Plotly - Part 1
  • Core Visualizations in Plotly – Part 1 (AI-Enhanced)
  • Core Visualizations in Plotly - Part 2
  • Core Visualizations in Plotly – Part 2 (AI-Enhanced)
  • Making Visuals Interactive & Presentable
  • Data to Story: Power of Clarity
  • Course Completion
Matplotlib in Python
Beginner Module
  • Introduction to Matplotlib
  • Installing Matplotlib and dependencies
  • Setup - Jupyter Notebook
  • Getting started with basic of Matplotlib
  • Introduction to pyplot
  • Adding Labels to plot
  • Formatting plot style
  • Specifying axis in plot
  • Adding and customizing markers
  • Adding Titles and Legends to a plot
  • Scatter Plot and categorical plotting
  • Scatter plot in matplotlib
  • Plotting category categorical variables in various format
  • Line and SETP method
Intermediate Module
  • Figure and Subplot in Matplotlib
  • Concept of Figure and SubPlotting
  • Plotting multiple figure and plots
  • Applying Grids to the plot
  • More Plots in Matplotlib
  • Histograms in Matplotlib
  • Bar charts in Matplotlib
  • Pie Charts in Matplotlib
  • Stack plots in Matplotlib
Advanced Module
  • Logarithmic plotting in Matplotlib
  • Symlog and logit plot in Matplotlib
  • Polar plot in Matplotlib
  • Working with Time-series data in matplotlib
Expert Module
  • 3D Plotting and visualization in Matplotlib
  • Working with Audio data in Matplotlib
  • Working with images in matplotlib
  • Saving plots as PNG and PDF file format in Matplotlib
Excel Visualization
Beginner Module
  • Introduction to Excel Data Visualization
  • Basic Excel Functionalities & Merging data in excel
  • Table formatting and Conditional formatting
  • Advanced Conditional formatting
  • Module Booster - Excel - Beginner Part 1
  • Advanced Excel Functions
  • Advanced Excel Functions (Part 2)
  • Module Booster - Excel - Beginner Part 2
  • Searching and Filtering in data
  • Data cleaning using text functions
  • Styling Tabulation in Excel
  • Module Booster - Excel - Beginner Part 3
  • Excel Beginner Module Completion
Intermediate Module
  • Reading comlplex JSON files in Excel
  • Trendlines and Sparklines
  • Slicers and Pivot Table
  • Module Booster - Excel - Intermediate Part 1
  • Charts in Excel and Pivot Bar Chart
  • Clustered and Stacked Bar Charts
  • Box and Whisker Plot
  • Module booster - Excel - Intermediate Part 2
  • Area Chart & Stacked Area Chart
  • Distribution of Data - Histogram
  • Module Booster - Excel - Intermediate Part 3
  • Excel Module Intermediate Completion
Advanced Module
  • Dual Axis (Combo Charts)
  • Scattered Plot
  • Linear Regression Chart
  • Module Booster - Excel - Advanced Part 1
  • Pie Chart & Donut Chart
  • Gauge or Speedometer Chart using Donut Chart
  • Conditional Donut Progress Circle Chart
  • Module Booster - Excel - Advanced Part 2
  • Sunburst & TreeMap Chart
  • WaterFall Chart
  • Module Booster - Excel - Advanced Part 3
  • Excel Advanced Module Completion
Expert Module
  • Gantt Chart
  • Bubble Chart
  • Funnel Chart
  • Module Booster - Excel - Expert Part 1
  • Map Chart
  • HeatMap Chart
  • Getting Ready (Dashboard - Part 1)
  • Module Booster - Excel - Expert Part 2
  • KPI Dashboard in Excel
  • Interactive Dashboards with Slicers
  • Excel Expert Module Completion
  • Conclusion
  • Course Completion Excel
SQL
Beginner Module
  • Introduction
  • What is Database & about RDBMS
  • Need for Normalization (Anomalies) & cons
  • First Normal Form (1NF)
  • Second Normal Form (2NF)
  • Third Normal Form (3NF)
  • Boyce Codd Normal Form (BCNF)
  • About MySQL Database
  • Explore a MySQL Sample Database
  • DDL, DML, DCL & TCL
  • Databases & Tables
  • Insert & Select
  • Drop & Alter
  • Primary Key
Intermediate Module
  • Count & Sum
  • Update & Delete
  • Order By and Group By
  • AND OR Between In Like
  • Joins
  • Working with Dates
  • Auto Increment
  • Triggers
  • Index & Views
  • Commit & Rollback
  • Functions – MySQL & User Defined
  • Stored Procedures
  • Practical Session I
  • Practical Session II
Advanced Module
  • Capstone Project
  • Project Video
Python Zero-to-Hero
Beginner Module
  • Introduction to Python Zero to Hero Course
  • Introduction to Python & Features of Python
  • PVM, Frozen Binaries & Memory management
  • Execution & Viewing the Byte Code
  • Installing & Testing Python for Windows
  • Setting the Path & Executing First Python Program
  • Comments in Python & Docstrings
  • Datatypes & Built-in datatypes
  • Bool Datatype, Sequences in Python & Sets
  • Variable & Determining the datatype
  • Variables Rules & Conventions
  • User-defined Datatypes & Constants
  • Operators
  • Control Statements
  • The if Statement
  • Indentation & Short Hand if
  • Iteration_Control_Flow
  • The while Loop
  • For Loop - break and continue statements
  • Infinite & Nested Loops
  • Defining & Calling a Function
  • Returning Values from a Function
  • Formal, Actual & Positional Arguments
  • Keyword & Default Arguments
  • Variable Length Arguments & Recursive function
  • Assignment 1
Intermediate Module
  • Anonymous Functions or Lambdas
  • Generators & Decorators
  • Structured Programming & modules
  • Input, Filter and Map
  • Strings - Creating & Length of a String
  • Indexing in Strings
  • Slicing & Reverse Strings
  • Case Modification
  • Membership, Replacement & Sub Strings
  • Split, Join, Find, Index
  • Concatenation of Strings
  • Lists- Create
  • Lists - Slicing and Updating
  • Lists - Add and Remove Items
  • List Remaining Methods
  • Membership & Nested Lists
  • List Comprehensions
  • Tuples Creating and Modifications
  • Basic Operations on Tuples
  • Sets
  • Operations on Dictionaries
  • Dictionary Methods
  • Looping through and sorting dictionaries
  • Assignment 2
  • Project: World Wizard Part-1
  • Project: Word Wizard Part-2
Advanced Module
  • OOPS Concepts & Features
  • Constructor, Variables & Namespace
  • Method types, Passing member & Inner Classes
  • Constructors in Inheritance
  • Overriding Constructors, Inheritance, Super()
  • Polymorphism in Python
  • Errors and Exception, Handling, etc
  • Assignment 3
  • Project: Gladiator Game Part-2
Expert Module
  • Files in Python
  • Pickle and With Statement
  • Random Accessing & Zipping
  • Regular Expressions
  • Quantifiers in Regular Expressions
  • Special Characters & Sequences
  • Multithreading & Concurrent Programming
  • Thread Class Methods
  • Thread Synchronization(Lock and Semaphore)
  • Deadlocks and Avoiding Deadlock
  • Thread Communications
  • Assignment 4
  • Project: Secret Agent Part-1
  • Project: Secret Agent Part-2
Data Analytics Using Pandas
Beginner Module
  • Course Overview
  • Introduction to data analysis with Pandas
  • Loading and Inspecting data
Intermediate Module
  • Data cleaning & preprocessing
  • Selecting columns and rows
Advanced Module
  • Filtering Rows and Columns
  • Sorting and Ranking Data
Expert Module
  • Joins
  • Visualization
Please wait