Get this Data Analyst Bundle for Just ₹ 1499 for this Diwali
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This Diwali, Light Up Your Career with Data Analytics

This Diwali, Light Up Your Career with Data Analytics

Master Excel, SQL, Python and Power BI to transform raw data into actionable insights and unlock exciting career opportunities with one comprehensive Data Analytics Bundle at Low Price never before. 

Master Excel, SQL, Python and Power BI to transform raw data into actionable insights and unlock exciting career opportunities with one comprehensive Data Analytics Bundle. 

What You'll Learn

What You'll Learn

What's Included

What's Included

₹1499

₹9,999/ 

Limited Time Offer!!

Limited Time Offer!!

Become a Professional Data Analyst Expert Today!

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

Become a Job-Ready Data Analyst

Master Excel, SQL, Power BI and Data Analytics through hands-on, project-based learning built for real-world careers.

What You'll Learn

What's Included

Become a Professional Data Analyst Expert Today!

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

Why Learn Data Analytics?

A practical learning path to build in-demand data skills and turn raw data into meaningful insights.

Master Excel, SQL, Python and Power BI to build a strong foundation in data analytics.

Work with datasets, clean data, perform analysis and solve real-world data problems.

Learn SQL queries, Python libraries, spreadsheet functions and data visualisation techniques.

Create insightful charts, interactive reports and dashboards to communicate findings clearly.

Build relevant skills to explore opportunities in Data Analytics, Business Analysis and Business Intelligence.

Complete eligible courses and earn certificates to showcase your learning achievements and strengthen your resume.

Master Excel, SQL, Python and Power BI to build a strong foundation in data analytics.

Work with datasets, clean data, perform analysis and solve real-world data problems.

Learn SQL queries, Python libraries, spreadsheet functions and data visualisation techniques.

Create insightful charts, interactive reports and dashboards to communicate findings clearly.

Build relevant skills to explore opportunities in Data Analytics, Business Analysis and Business Intelligence.

Complete eligible courses and earn certificates to showcase your learning achievements and strengthen your resume.

Who is this for

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

Build your understanding of statistical methods used to analyze and interpret data.

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

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

Where Data Analyst can Take You

Turn Data Skills into Career Opportunities

Data Scientist

Apply statistics, programming and machine learning to explore data and develop predictive models.

Avg salary : ₹10–15 LPA

Business Intelligence (BI) Analyst

Build dashboards, track business KPIs and help stakeholders understand performance trends.

Avg salary : ₹6–10 LPA

Data Analyst

Analyse datasets, identify patterns and prepare reports that help teams make informed decisions.

Avg salary : ₹6–8 LPA

Business Analyst

Understand business requirements, analyse performance and turn findings into recommendations.

Avg salary : ₹7–11 LPA

Who This Course Is Perfect For

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

Build your understanding of statistical methods used to analyze and interpret data.

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

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

Individual Certifications

Total Learners

Total Mentors

Total Learners

Students & Young Graduates.

You’re interested in a career in data science, but not sure where to start.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Freshers (0 - 1 Year Experience)

You’re interested in a career in data science, but not sure where to start.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Tech Working Professional

I want to get into data science, but feeling it’s tough, break that barrier in this session.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Non-Tech Working Professional

Struggling in a non-tech career, and looking for an IT career that pays well, explore data science and see if it’s your calling.

Where Data Analyst can Take You

Turn Data Skills into Career Opportunities

Data Analyst

Analyse datasets, identify patterns and prepare reports that help teams make informed decisions.

Avg salary : ₹6–8 LPA 

Business Analyst

Understand business requirements, analyse performance and turn findings into recommendations.

Avg salary : ₹7–11 LPA

Business Intelligence (BI) Analyst

Build dashboards, track business KPIs and help stakeholders understand performance trends.

Avg salary : ₹6–10 LPA

Data Scientist

Apply statistics, programming and machine learning to explore data and develop predictive models.

Avg salary : ₹10–15 LPA

Individual Certifications

Total Learners

Total Mentors

Total Learners

Students & Young Graduates.

You’re interested in a career in data science, but not sure where to start.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Freshers (0 - 1 Year Experience)

You’re interested in a career in data science, but not sure where to start.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Tech Working Professional

I want to get into data science, but feeling it’s tough, break that barrier in this session.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Non-Tech Working Professional

Struggling in a non-tech career, and looking for an IT career that pays well, explore data science and see if it’s your calling.

Data Analyst Bundle 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. 

Globally Recognized Certification

100% Online & Self-Paced Learning

Lifetime Access to Courses

24/7 Dedicated Forum Support

Platform to practice SQL

7 Days Refund Policy.

Data Analyst Bundle Curriculum

Python Zero-to-Hero

Data Analytics Using Pandas

Excel Visualization

Matplotlib in Python

Plotly Dash

Power BI Dashboards with Python Data

We are accredited by 

What Our Leaner Say

What Our Learners say

 "I wanted to make a career shift to IT, so I joined HCL GUVI. I interviewed with 10 companies and received 3 offers. I eventually accepted an offer from a product-based company and am currently working as a Software Developer at iQuanti India Pvt. Ltd." - 

Rakesh, Software Developer

"My world changed after joining HCL GUVI. The courses helped me develop apps from scratch, a vital skill for any developer. I worked on projects like Google Pay and YouTube clones and was placed at ZestMoney, a product-based company. If you want to upskill and join a product-based company, I highly recommend HCL GUVI."

Muntha Pawan Kumar, Software Developer

Earn Industry-Recognized Certificate

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 Analyst 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.

Earn Industry-Recognized Certificates

Each time you complete a course in the Data Analyst 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.

Light Up Your Data Career This Diwali

For Just ₹1,499 — Unlock Your Data Analytics Journey

Master Excel, SQL, Python and Power BI to transform raw data into meaningful insights and build skills for a data-driven career.

Free Certificates

Instant Access

Lifetime Access

Lifetime Free Access

8 Courses in One Bundle

Certification Included

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 ₹1,499. 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.

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.

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This Diwali, Take the Next Step With Data.

Start Your Journey to become AI engineer
Please fill all the required fields!
Please accept terms and conditions to proceed
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
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
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

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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
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
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
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
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