Data Analytics Bootcamp 4.0: With Practical Job Placement Support + AI for Data Analysts

4.9

(4406 Verified ratings)

Industry Projects-Based Bootcamp Created by Hiring Managers

Prepare for high-demand roles like Data Analyst, Business Analyst, Finance Analyst, & Marketing Analyst with our Data Analytics Bootcamp (trusted by a community of 1M+ learners). Created by industry hiring managers, this hands-on program teaches real-world skills using modern tools and AI concepts for analysts. With practical job support integrated, you'll gain the confidence to successfully launch your analytics career.

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45+

Real Scenarios


10

Business Projects


2

Virtual Internships

Free

Portfolio Website


Lifetime

Content Validity


19K+

Enrolled Learners

Data Analytics Bootcamp 4.0: With Practical Job Placement Support + AI for Data Analysts
US$225
Join our Bootcamp

Join our Bootcamp

In-demand Skills

Learn In-demand Skills

Get Hired

Get Hired by Top Companies

Enroll Now

Get AI Toolkit For Professionals at a 25% subsidy along with your Bootcamp. Click to Benefit

No Questions Asked Refund Policy

Get your money within 30 days of enrollment

Added Benefit

If you have already taken our paid Data Analytics course(s), you will pay only the difference (This Bootcamp Price - Money You Paid for Data Analytics Course(s) Price)

Download Brochure

45+

Real Scenarios


10

Business Projects


2

Virtual Internships

Free

Portfolio Website


Lifetime

Content Validity


19K+

Enrolled Learners

Why this is the most effective Data Analytics Bootcamp?

  • Automated Resume Builder and Portfolio Website to showcase your work

  • Unlimited daily doubt clearance support via private Discord community

  • Dedicated module to become an AI-enabled Data Analyst (Effective Prompts, AI/ML Basics)

  • Practical job assistance (Resume & Interview Preparation + Interview and Job Application Playbook + Interview Leads + Building Online Credibility + Mock Interview)

  • Real-time industry-based projects in FMCG, Hospitality, Insurance, Telecom, Banking & Finance domain, Sales, Marketing, HR & Supply Chain departments

  • Complex datasets that have more than 7 Million records like you will get in a company

  • Highly engaging content with the cinematic experience, real business practice problems, business meetings, etc.

  • Easy explanation of complex topics by Dhaval Patel, a famous Youtuber (1M+ subs) teacher & active data industry expert

  • Real-time tasks prepared by Hemanand Vadivel, a data analytics leader with 8+ years of experience in Europe

Begin Your Bootcamp Journey with US$36

Know How

Begin Your Bootcamp Journey with

US$36

Know How

Key Reasons

Why Should You Enroll in This Data Analytics Bootcamp?

2491 learners have created their portfolio websites

Explore Portfolios

Hear It From

Our Happy Learners

Our content is rated 4.9/5 from 51420+ Learners

You Can

Work On Real World Projects
That Hiring Managers Like

Overview

What you'll learn in
this Data Analytics Bootcamp

Excel: Mother of Business Intelligence

08h:59m:02s on-demand video

|

70 Lectures

Get Job Ready: Power BI Data Analytics for All Levels 3.0

19h:10m:41s on-demand video

|

137 Lectures

Building Online Credibility, Portfolio Projects & ATS Resume

03h:59m:49s on-demand video

|

23 Lectures

SQL Beginner to Advanced For Data Professionals

11h:15m:16s on-demand video

|

84 Lectures

Python: Beginner to Advanced For Data Professionals

16h:57m:31s on-demand video

|

108 Lectures

Virtual Internship

00h:13m:46s on-demand video

|

8 Lectures

DA 2.0: The AI Enabled Data Analyst

04h:47m:25s on-demand video

|

35 Lectures

Virtual Internship 2

00h:11m:04s on-demand video

|

9 Lectures

Practice Arena

1: Scenario Based - Interview Questions SQL

29 Questions

  • 1.1: Future Purchase Prediction Date

  • 1.2: Customer Purchase Behavior Analysis

  • 1.3: Travel Booking Analysis

  • 1.4: Top 3 Customer Revenue Analysis

  • 1.5: Cricket Match Scheduling

  • 1.6: Travel Booking and Revenue Analysis

  • 1.7: Customer Revenue Analysis

  • 1.8: Monthly Transaction Analysis for Fraud Detection

  • 1.9: Fitness MemberShip

  • 1.10: Travel Pattern Analysis

  • 1.11: Customer Loyalty Analysis

  • 1.12: Product Sales by Store in Bangalore

  • 1.13: Analyzing Revenue from High-Demand, Premium Products

  • 1.14: Calculating Total Revenue by Product Category

  • 1.15: Identifying Unsold Products in Inventory

  • 1.16: Analyzing Above-Average Salaries by Department

  • 1.17: Identifying Top Customers by Average Purchase Amount

  • 1.18: Analyzing Monthly Customer Retention Rates for Q2 2024

  • 1.19: Identifying Store Leaders: Most Popular Products by Sales

  • 1.20: Identifying APAC Markets for Atliq Exclusive

  • 1.21: Sorting Unique Product Counts by Segment at Atliq Exclusive

  • 1.22: Optimizing Costs: High and Low Manufacturing Costs at Atliq Exclusive

  • 1.23: 2020 Quarterly Sales Trends at Atliq Exclusive

  • 1.24: Top 3 Products by Sold Quantities Across Divisions, FY 2021

  • 1.25: 2021 Sales Channel Performance at Atliq Exclusive

  • 1.26: Segment Growth in Unique Products: 2020-2021 Analysis

  • 1.27: Monthly Gross Sales Analysis for Atliq Exclusive Customer

  • 1.28: Yearly Product Diversification Increase: 2020-2021

  • 1.29: Top 5 Indian Customers by Pre-Invoice Discounts, 2021

  • 2.1: Print All Marvel Studios Movies with Titles and Release Year

  • 2.2: Select All THOR Movies by Release Year

  • 2.3: Select All Movies Not from Marvel Studios

  • 2.4: Retrieving Movies with Their Language Names

  • 2.5: Retrieve Hollywood Movies with High Profit After 2000

  • 2.6: Count Movies Released Between 2015 and 2022

  • 2.7: Determine the Range of Movie Release Years

  • 2.8: Count Movies Released Annually in Descending Order

  • 2.9: Calculate Profit Percentage for All Movies

  • 2.10: Retrieve Telugu Movies

  • 2.11: Count Movies by Language

  • 2.12: Generate a Report of Hindi Movies Sorted by Revenue

  • 2.13: Retrieve Movies with Minimum and Maximum Release Year

  • 2.14: Retrieve Movies with IMDb Rating Above Average

  • 2.15: Select Movies by Marvel Studios and Hombale Films

  • 2.16: List Movies by Latest Release Year

  • 2.17: All Movies Released After 2020 with Rating Greater Than 8

  • 2.18: All Movies Released After 2020

  • 2.19: All Movies Released in 2022

  • 2.20: Order Movies by Release Year

  • 2.21: List Distinct Bollywood Studios

  • 2.22: Release Year of The Godfather

  • 2.23: Search for Avengers Movies

  • 2.24: List Marvel Studios Movies

Excel: Mother of Business Intelligence

08h:59m:02s on-demand video

|

70 Lectures

Get Job Ready: Power BI Data Analytics for All Levels 3.0

19h:10m:41s on-demand video

|

137 Lectures

Building Online Credibility, Portfolio Projects & ATS Resume

03h:59m:49s on-demand video

|

23 Lectures

SQL Beginner to Advanced For Data Professionals

11h:15m:16s on-demand video

|

84 Lectures

Python: Beginner to Advanced For Data Professionals

16h:57m:31s on-demand video

|

108 Lectures

Virtual Internship

00h:13m:46s on-demand video

|

8 Lectures

DA 2.0: The AI Enabled Data Analyst

04h:47m:25s on-demand video

|

35 Lectures

Virtual Internship 2

00h:11m:04s on-demand video

|

9 Lectures

Practice Arena

1: Scenario Based - Interview Questions

  • 1.1: Future Purchase Prediction Date

  • 1.2: Customer Purchase Behavior Analysis

  • 1.3: Travel Booking Analysis

  • 1.4: Top 3 Customer Revenue Analysis

  • 1.5: Cricket Match Scheduling

  • 1.6: Travel Booking and Revenue Analysis

  • 1.7: Customer Revenue Analysis

  • 1.8: Monthly Transaction Analysis for Fraud Detection

  • 1.9: Fitness MemberShip

  • 1.10: Travel Pattern Analysis

  • 1.11: Customer Loyalty Analysis

  • 1.12: Product Sales by Store in Bangalore

  • 1.13: Analyzing Revenue from High-Demand, Premium Products

  • 1.14: Calculating Total Revenue by Product Category

  • 1.15: Identifying Unsold Products in Inventory

  • 1.16: Analyzing Above-Average Salaries by Department

  • 1.17: Identifying Top Customers by Average Purchase Amount

  • 1.18: Analyzing Monthly Customer Retention Rates for Q2 2024

  • 1.19: Identifying Store Leaders: Most Popular Products by Sales

  • 1.20: Identifying APAC Markets for Atliq Exclusive

  • 1.21: Sorting Unique Product Counts by Segment at Atliq Exclusive

  • 1.22: Optimizing Costs: High and Low Manufacturing Costs at Atliq Exclusive

  • 1.23: 2020 Quarterly Sales Trends at Atliq Exclusive

  • 1.24: Top 3 Products by Sold Quantities Across Divisions, FY 2021

  • 1.25: 2021 Sales Channel Performance at Atliq Exclusive

  • 1.26: Segment Growth in Unique Products: 2020-2021 Analysis

  • 1.27: Monthly Gross Sales Analysis for Atliq Exclusive Customer

  • 1.28: Yearly Product Diversification Increase: 2020-2021

  • 1.29: Top 5 Indian Customers by Pre-Invoice Discounts, 2021

  • 2.1: Print All Marvel Studios Movies with Titles and Release Year

  • 2.2: Select All THOR Movies by Release Year

  • 2.3: Select All Movies Not from Marvel Studios

  • 2.4: Retrieving Movies with Their Language Names

  • 2.5: Retrieve Hollywood Movies with High Profit After 2000

  • 2.6: Count Movies Released Between 2015 and 2022

  • 2.7: Determine the Range of Movie Release Years

  • 2.8: Count Movies Released Annually in Descending Order

  • 2.9: Calculate Profit Percentage for All Movies

  • 2.10: Retrieve Telugu Movies

  • 2.11: Count Movies by Language

  • 2.12: Generate a Report of Hindi Movies Sorted by Revenue

  • 2.13: Retrieve Movies with Minimum and Maximum Release Year

  • 2.14: Retrieve Movies with IMDb Rating Above Average

  • 2.15: Select Movies by Marvel Studios and Hombale Films

  • 2.16: List Movies by Latest Release Year

  • 2.17: All Movies Released After 2020 with Rating Greater Than 8

  • 2.18: All Movies Released After 2020

  • 2.19: All Movies Released in 2022

  • 2.20: Order Movies by Release Year

  • 2.21: List Distinct Bollywood Studios

  • 2.22: Release Year of The Godfather

  • 2.23: Search for Avengers Movies

  • 2.24: List Marvel Studios Movies

Data Analytics

Market Opportunity

While the market is tough, you need to build the exact skills to launch or accelerate your data analytics career with quality teaching. However, just building skills is not enough. You need to know how to present your skills in order to stand out from the crowd.

We help you in each and every step to achieve that:

  • Portfolio Website

  • Ace the job interview

  • Create an ATS resume

  • Build online credibility

  • Find the right jobs and companies

  • Network effectively on LinkedIn by showing your work

5,70,000 INR

Average Data Analyst Salary

Based on data from glassdoor.com

3,00,000

Number of Job Openings

Based on data from linkedin.com

23% GROWTH

Projected Demand for Data Analysts

Source: U.S. Bureau of Labor Statistics

Career

Bootcamp Journey

Data Analytics Bootcamp 4.0: With Practical Job Placement Support + AI for Data Analysts Roadmap Data Analytics Bootcamp 4.0: With Practical Job Placement Support + AI for Data Analysts Roadmap
Cost Benefit

Data Analyst with AI Toolkit Bundle

US$247

one-time payment

Includes: DA Bootcamp
+
AI Toolkit For Professionals

Get a 25% subsidy on AI Toolkit For Professionals

DA Bootcamp
  • Practice with Complex Datasets of over 7M+ Records

  • Practical Job Assistance with Virtual Internships

  • 10+ Business Projects to add to your Resume

  • Job Application and Interview Playbooks

  • Access to ATS Resume Builder

  • Build Free Portfolio Website

  • Unlimited Chat Support

  • Live Monthly Webinars

AI Toolkit For Professionals Course
  • Practical Tool Kit to Survive and Thrive in the AI Era

  • Hands on Practice with 10+ in-demand AI Tools

  • 8+ Real Business Use Cases & Automations

  • Complimentary Access to 6 LIVE AI Workshops

Get the complete bundle to learn skills practiced by industry experts. Save US$7 with a 25% subsidy.

May we help you?

Frequently Asked
Questions

Q.1 Are the lectures going to be LIVE?

To keep the bootcamp affordable, we have kept the lectures as self-paced videos that you can watch at your convenience. However, there will be monthly seminars and live discord community support.

The datasets used in this bootcamp are crafted from scratch to mimic the real business world by consolidating our years of experience. The datasets not just contain more than a million rows but also cover multiple facets of the business.

You can complete this data analytics bootcamp in 3-5 months if you devote 3 hours each day, 6 days a week.

Yes. This data analytics bootcamp is self-paced. You can learn on your own schedule.

You can expect to learn tech skills like Python, Excel, SQL, and Power BI along with other skills like basic project management, stakeholder management, communication skills, and Business knowledge for domains like Finance, Supply chain, Sales, and Marketing.

Yes, Monthly webinar recordings will be provided. As a boot camper, you will always have access to the latest monthly webinar along with the recordings from the previous 2 months.

Q.1 I am confused about whether to pursue my career as a data analyst. Can you help?

Sure, take this survey https://codebasics.io/find-your-match-da This survey tells you how much your natural interest matches the data analyst role. It also provides recommendations on the learning path.

No, a computer science degree or relevant work experience is not required. We have many success stories of folks from non-tech backgrounds successfully cracking into a data analytics career.

Yes, this boot camp will work for you even if you have not done coding or have a computer science background. The reason is a data analyst job does not require a lot of coding & this bootcamp prepares you from the basics for what's needed in the job.

Yes, you can enroll in this data analytics bootcamp. We have seen folks who learn data analytics at 40+ age and can still crack into the data analytics industry. Age doesn’t matter. What matters is your attitude!

Our bootcamp is specifically designed for beginners with no prior experience in this field. The only prerequisite is that you need to have a functional laptop with at least 4GB ram, an internet connection, and a thrill to learn data analysis.

Q.1 Do you provide any job assistance?

Yes, we help you with resume and interview preparation along with that we help you in building online credibility, and based on requirements we refer candidates to potential recruiters.

The courses included in this data analytics bootcamp have been completed by 50000+ learners and many of them have secured a job which gives us ample confidence that you will be able to get a job. However, we want to be honest and do not want to make any impractical promises! Our guarantee is to prepare you for the job market by teaching the most relevant skills, knowledge & timeless principles good enough to fetch the job.

We have created every lecture of this data analytics bootcamp with the motive to explain everything in an easy-to-understand manner. While working on these lectures you could make mistakes in steps or have some doubts. You need to commit yourself to hold patience, make efforts & figure out the solution by googling in order to become truly job ready.

For any questions, that Google cannot answer or if you hit a wall - we got you covered!

You can join our active discord community, which is a dedicated platform to discuss & clear your doubts with fellow learners & mentors.

Q.1 How do I get the certificate?

You need to complete at least 70% of the course and score 70% or more in the Final quiz. After completing the quiz, click “complete and get certificate” to download your certificate.

Yes, this bootcamp will certainly help because we cover the majority of the skills measured in these exams. However, please be informed that this course focuses on Job ready aspects and not on all aspects required to clear the exams.

In addition to this course, you might need to visit the official learning material designed by Microsoft which is available for free on their website.

Q.1 Do we have an EMI option?

Our website doesn't support an EMI option right now. But don't worry, you can still pay in installments by following these steps,

(1) First buy the Excel course.
(2) After you have completed the Excel course, buy Power BI course.
(3) After completing the Power BI course, buy the Bootcamp.

This way you will pay in 3 installments.

Remember that the Bootcamp includes the same content from individual Excel and Power BI courses that you bought previously hence you will not lose anything in terms learning in your Bootcamp curriculum.

Also, all the progress you made in these individual courses will be transferred to Bootcamp automatically.

Note: Data Science courses are not part of the Data Analytics Bootcamp 4.0

If you have purchased all four data analytics paid courses, you just need to pay additional fees to enroll in our bootcamp 4.0

If you have purchased any of our data analytics courses, you can pay the difference amount to enroll in the bootcamp. For example, if you have already bought Power BI and SQL. The amount you paid for these courses will be deducted from the Bootcamp price.

Note: Data Science courses are not part of the Data Analytics Bootcamp 4.0

Q.1 What if I don’t like this data analytics bootcamp? Is there a refund policy?

Yes. No questions asked. No hidden conditions. You will get a 100% refund if you request a refund within 30 days of enrollment.

Till now 12000 + learners have benefitted from the quality of our courses. You can check the review section and also we have attached their LinkedIn profiles so that you can connect with them and ask directly.

Q.1 I’m not sure if this data analytics bootcamp is good enough for me to invest some money. What can I do?

We got you covered. Go ahead and watch this sales insights playlist
It is a high-quality material available for free-> If you like it and want to learn further then this bootcamp is the perfect extension.

Q.1 Are the lectures going to be LIVE?

To keep the bootcamp affordable, we have kept the lectures as self-paced videos that you can watch at your convenience. However, there will be monthly seminars and live discord community support.

The datasets used in this bootcamp are crafted from scratch to mimic the real business world by consolidating our years of experience. The datasets not just contain more than a million rows but also cover multiple facets of the business.

You can complete this data analytics bootcamp in 3-5 months if you devote 3 hours each day, 6 days a week.

Yes. This data analytics bootcamp is self-paced. You can learn on your own schedule.

You can expect to learn tech skills like Python, Excel, SQL, and Power BI along with other skills like basic project management, stakeholder management, communication skills, and Business knowledge for domains like Finance, Supply chain, Sales, and Marketing.

Yes, Monthly webinar recordings will be provided. As a boot camper, you will always have access to the latest monthly webinar along with the recordings from the previous 2 months.

Q.1 I am confused about whether to pursue my career as a data analyst. Can you help?

Sure, take this survey https://codebasics.io/find-your-match-da This survey tells you how much your natural interest matches the data analyst role. It also provides recommendations on the learning path.

No, a computer science degree or relevant work experience is not required. We have many success stories of folks from non-tech backgrounds successfully cracking into a data analytics career.

Yes, this boot camp will work for you even if you have not done coding or have a computer science background. The reason is a data analyst job does not require a lot of coding & this bootcamp prepares you from the basics for what's needed in the job.

Yes, you can enroll in this data analytics bootcamp. We have seen folks who learn data analytics at 40+ age and can still crack into the data analytics industry. Age doesn’t matter. What matters is your attitude!

Our bootcamp is specifically designed for beginners with no prior experience in this field. The only prerequisite is that you need to have a functional laptop with at least 4GB ram, an internet connection, and a thrill to learn data analysis.

Q.1 Do you provide any job assistance?

Yes, we help you with resume and interview preparation along with that we help you in building online credibility, and based on requirements we refer candidates to potential recruiters.

The courses included in this data analytics bootcamp have been completed by 50000+ learners and many of them have secured a job which gives us ample confidence that you will be able to get a job. However, we want to be honest and do not want to make any impractical promises! Our guarantee is to prepare you for the job market by teaching the most relevant skills, knowledge & timeless principles good enough to fetch the job.

We have created every lecture of this data analytics bootcamp with the motive to explain everything in an easy-to-understand manner. While working on these lectures you could make mistakes in steps or have some doubts. You need to commit yourself to hold patience, make efforts & figure out the solution by googling in order to become truly job ready.

For any questions, that Google cannot answer or if you hit a wall - we got you covered!

You can join our active discord community, which is a dedicated platform to discuss & clear your doubts with fellow learners & mentors.

Q.1 How do I get the certificate?

You need to complete at least 70% of the course and score 70% or more in the Final quiz. After completing the quiz, click “complete and get certificate” to download your certificate.

Yes, this bootcamp will certainly help because we cover the majority of the skills measured in these exams. However, please be informed that this course focuses on Job ready aspects and not on all aspects required to clear the exams.

In addition to this course, you might need to visit the official learning material designed by Microsoft which is available for free on their website.

Q.1 Do we have an EMI option?

Our website doesn't support an EMI option right now. But don't worry, you can still pay in installments by following these steps,

(1) First buy the Excel course.
(2) After you have completed the Excel course, buy Power BI course.
(3) After completing the Power BI course, buy the Bootcamp.

This way you will pay in 3 installments.

Remember that the Bootcamp includes the same content from individual Excel and Power BI courses that you bought previously hence you will not lose anything in terms learning in your Bootcamp curriculum.

Also, all the progress you made in these individual courses will be transferred to Bootcamp automatically.

Note: Data Science courses are not part of the Data Analytics Bootcamp 4.0

If you have purchased all four data analytics paid courses, you just need to pay additional fees to enroll in our bootcamp 4.0

If you have purchased any of our data analytics courses, you can pay the difference amount to enroll in the bootcamp. For example, if you have already bought Power BI and SQL. The amount you paid for these courses will be deducted from the Bootcamp price.

Note: Data Science courses are not part of the Data Analytics Bootcamp 4.0

Q.1 What if I don’t like this data analytics bootcamp? Is there a refund policy?

Yes. No questions asked. No hidden conditions. You will get a 100% refund if you request a refund within 30 days of enrollment.

Till now 12000 + learners have benefitted from the quality of our courses. You can check the review section and also we have attached their LinkedIn profiles so that you can connect with them and ask directly.

Q.1 I’m not sure if this data analytics bootcamp is good enough for me to invest some money. What can I do?

We got you covered. Go ahead and watch this sales insights playlist
It is a high-quality material available for free-> If you like it and want to learn further then this bootcamp is the perfect extension.

The only Bootcamp you need to become a high paying data analyst, with Practical Job Assistance.

Talk to us Chat with us