Project-Based Data Analyst Bootcamp

Learn Data Analytics Acquire In-Demand Skills & Get Hired as a Data Analyst

Land lucrative offers with an average salary of per year

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Become a Skilled Data Analyst

The ability to capture information related to business, markets, and the environment and to analyse that information has added immeasurable value to the decision-making process. This Data Analytics Bootcamp is engineered to take you from zero skills to a stellar portfolio that lands you a rewarding career with comprehensive training and career assistance.

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Bootcamp Highlights

  • 115 Hours of Live Instructor-Led Sessions

  • 171 Hours of Self-Paced On-Demand Learning

  • 10 Capstone Projects for a Job-Worthy Portfolio

  • Immersive Learning with 110+ Hands-On Exercises

  • 10 Real-World Case Studies

  • Program Designed to Start Your Career as a Data Analyst

Latest Data Analytics Tools and Technologies You Will Master

  • Python
  • Tableau
  • SQL
  • Git
  • GitHub-New

Meet the Rising Demand for Skilled Data Analysts

data-analyst-bootcamp-course

Decision makers across industries depend on insights pulled from actual data to drive important strategic and tactical decisions. There are currently close to 400,000 Data Analyst jobs in the US on LinkedIn and this number is estimated to grow at a rate of 25% as per the U.S. Bureau of Labor Statistics. A career in Data Analytics is a future-proof career.

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Build the skills to become an outstanding Data Analyst

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The KnowledgeHut Advantage

The most effective project-based immersive learning experience

Immersive Learning

immersive-learning
  • On-demand videos
  • Guided hands-on exercises
  • Auto-graded assessments and recall quizzes
  • Assignments and projects

Learn by Doing

learn-by-doing
  • Learn to code. By actually coding.
  • Get project-ready with work-like experiences.
  • Learn on the job, like devs in tech companies.

Cloud Labs

cloud-labs
  • Access fully provisioned dev environment.
  • Virtual machine spinned up in minutes.
  • Write code right in your browser.

Outcome-Focused

outcome-driven-learning
  • Get advanced learner insights.
  • Measure and track skills progress.
  • Identify areas to improve in.

Blended Learning

blended-learning
  • On-demand, self-paced learning anytime.
  • Code review sessions by experts.
  • Access to discussion forums, community groups.

Pool of Stellar Course Creators and Instructors

Our industry-validated curriculum is designed with inputs from our Software Engineering Advisory Board comprised of industry veterans and renowned experts. The program is delivered by top instructors with several years of experience under their belt.

David Haertzen

Big Data Analytics Leader, InfoGoal LLC

Denis Rothman

AI Author, Speaker, and Instructor

Jeffrey Aven

Principal Consultant Gamma Data

Gopikrishnan R

Co-Founder and CTO, CrosInfo Software Pvt Ltd

Beau - Carnes

Director of Technology Education, freeCodeCamp

Jignesh Kariya

Sr. Database Consultant, HM Revenue & Customs

Peter Henstock

Machine Learning & AI Lead, Pfizer

Ashish Gulati

Python & Data Science Consultant, Tower Research Capita

Shobhit Nigam

Program Director - Data Science & Engineering

Phillip Kinn

Senior Data Scientist, E. & J. Gallo Winery

Emmanuel Segui

Asst. Director, Reporting and Programming, Univ of Alabama

Rahul Tiwari

Data Scientist and Co-Founder, TheScholar

Mark Strefford

Founder and CTO, Timelaps AI Limited

George Mount

Founder, Stringfest Analytics

Dr. Vishwakarma J.S.

Chief Technology Officer, Aeries

Jeremiah Lobo

Data Visualization Lead, Bank of America

Enes Bilgin

Staff Machine Learning Engineer, Argo AI

Harish Masand

Project Manager - Digital Enablement (Data and AI), Hewlett Packard Enterprise

Mo Medwani

Adjunct Faculty - Data Science & Analytics, Mercer University

Marie Stephen Leo

Director of Data Science APAC, Edelman Data & Intelligence

Anatoly Zelenin

Freelance Trainer - Apache Kafka

Bradford Tuckfield

Data Science Instructor and Consultant

Malvik Vaghadia

Principal Consultant - Data and Analytics, NTT DATA

Rashmi Banthi

Data Scientist, AArete

Avery Smith

Data Scientist, Data Career Jumpstart

Prince Kumar

Data Scientist, UnitedHealth Group

Sudhanshu Saxena

Sr. Data Scientist and Data Science Trainer, Accenture

Azib Hasan

Freelance Trainer, Dell

Prerequisites

Prerequisites

  • There are no prerequisites for attending this Bootcamp.
  • Prior knowledge of Mathematics, Statistics, and Python will be beneficial but is not mandatory. 
  • The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

Who Should Attend Data Analyst Bootcamp

IT Professionals

Digital Marketers

Product Managers

Sales representatives

Supply chain network managers

Freshers looking for a practical skill set to boost their resumes

Students in UG/PG courses

Developers interested in Data Analytics

Impress Recruiters With a Stellar Project Portfolio

Our job-focused immersive learning bootcamps are designed to give you real-world experiences through capstone projects. You’ll learn how to build projects from scratch, deploy them on Cloud, and by the end of the bootcamp, be ready to be an ace performer from day one in your job.

  • NFTlyze
    NFTlyze Data Analytics

    Collect and store data from NFT marketplaces and perform real-time data analysis on the same to forecast upcoming trends.

  • Boxify
    Boxify Inventory Management

    Track your inventory, view existing sales orders, create new orders, and generate real-time inventory reports on the go.

  • nutrical
    Nutrical Nutrition

    Get the calorie count information and nutrition facts for all the menu items available at McDonald's outlets.

  • Lifesave
    LifeSave Suicide Prevention

    Get working suicide helpline numbers in India in case anyone is feeling suicidal. Identify suicide clusters based on past trends.  

  • Detroll
    CheckMyFlight Travel

    Analyze flight prices all over India, identify patterns (if any), and forecast future flight patterns using Tableau

What You Will Learn

Maths and Stats Foundation

Understand the fundamental concepts of Mathematics and Statistics related to Data Analytics  

Master Excel for Data Analytics

Learn how to use pivot tables and perform different types of data analysis using Excel worksheets 

SQL for Data Analytics

Understand the concepts of Databases and SQL, and how to run basic SQL queries and analysis  

Essentials of Python for Data Analysis

Understand the basics of Python programming with functions and libraries such as Pandas and NumPy

Data Analysis using Python

Leverage Python programming and functions to do exploratory data analysis and visualization    

Data Visualization using Tableau

Use Tableau to perform complex calculations to understand data and create attractive dashboards   

Skills You Will Gain

Using Inferential Statistics

Identifying interesting trends

Building dashboards using Tableau

Transforming datasets using Pandas

Building visualizations with Seaborn

Using SQL queries for data extraction

Working with data from streaming APIs

Finding answers for research questions

Designing basic statistical experiments

Performing Descriptive Statistics on the data

Implementing parallel computing techniques on datasets

Using plotly and bokeh packages to build interactive plots

Using Data Analysis tools like Excel, SQL, Python, and Tableau

Transform Your Workforce

Empower Your Teams to Produce Actionable Insights

Equip your team with the skills they need to perform powerful data analytics tasks ranging from cleaning and preparing data to extracting and presenting crucial insights to drive business results. Leverage data-driven decision-making to meet business goals. 

  • Leverage Immersive Learning  
  • Get Your Teams Project-Ready 
  • Get Customized Corporate Training Programs 
  • Align Skill Development to Business Objectives 

500+ Clients

Data Analyst Bootcamp Curriculum

Download Curriculum
Video preview 1.

Learning Objective: 

  • Data Analysis using Excel
  • Learn about Excel Basics and Formulas
  • Perform Statistical Analysis using Excel
  • Learn to use Pivot Tables
  • Data Cleaning and Preparing   
  • PivotTable and Grouping for Data Analysis
  • Scenario and Sensitivity Analysis
  • Lookup Functions and Merging Techniques
  • Charts and Visualization Techniques  
  • Data Analysis ToolPak for Statistics

Learning Objective: 

  • Learn all about source code management using Git
  • Embrace the power of version control and management using Git and GitHub
  • Effectively manage your code like professionals
  • Introduction to Version Control with Git
  • Git from the Command Line
  • Everyday Git Commands
  • Git for collaboration
Video preview 3.

Learning Objective:

  • Master Descriptive Statistics and Probability Theory
  • Learn different probability distributions such as Normal, Binomial, Poisson and many more
  • Learn Inferential Statistics to draw better inferences from the data
  • Probability
  • Statistics
  • Linear Algebra
  • Calculus
Video preview 4.

Learning Objective: 

  • Understanding essential SQL database Commands
  • Filtering data and operators in SQL
  • Aggregation and Summary functions
  • Combining tables
  • Advanced Data Analysis using SQL
  • What is SQL and Why is it Important?
  • SQL Database Admin Commands
  • The Basics of SQL
  • Filtering Data Using WHERE Clause in SQL
  • Aggregation and Summary Functions in SQL
  • Miscellaneous Analysis in SQL
  • Table to Table Relationship in SQL
  • Combining Tables
  • Advanced SQL Data Analysis
  • Making Efficient Analysis
Video preview 5.

Learning Objective: 

  • Starts with the basics of Python programming
  • Learn how to use the existing functions and also to create the user defined functions
  • Working on different Python packages such as Pandas and NumPy
  • Visualizations using Python
  • Introduction to Python 
  • Code and Data
  • Building Blocks
  • Strings
  • Data Structures
  • Flow Control
  • Functions
  • Modules
  • Files
  • NumPy
  • Pandas
  • Regular Expression
  • Visualization

Learning Objective: 

  • Efficient use of Pandas and NumPy for Data Analysis
  • Learn to perform the analysis on Structured and Unstructured data
  • Learn to work with APIs in Python
  • Learn how Parallel computing works
  • Visualisations using Seaborn, Plotly and Bokeh packages
  • Exploratory Data Analysis in Python
  • Confirmatory Data Analysis in Python
  • Intermediate pandas
  • Unstructured Data in Python
  • Working with APIs in Python
  • Parallel Computing with Dask
  • Intermediate Seaborn
  • Interactive Visualizations with Plotly and Bokeh

Learning Objective: 

  • Start with introduction to visualizations and Tableau
  • Participants will learn how to connect to different data sources
  • Learn how to do Slicing and Dicing data
  • Learn Basic and Advanced calculations in Tableau
  • Dashboard designing, Publishing and Sharing
  • Basics of Excel and formulas in Excel
  • Introduction to Data Visualization and Tableau
  • Understanding Tableau Building Blocks
  • Managing Data connections
  • Prepare Data for use 
  • Basic Data Visualization
  • Advanced Data Visualization
  • Slicing and Dicing Data
  • Tableau Basic Calculations
  • Tableau Advanced Calculations
  • Formatting
  • Dashboard Designing
  • Publishing and Sharing

Data Analyst Training FAQs

Bootcamp FAQs

There are no prerequisites for attending this Bootcamp. Prior knowledge of Mathematics, Statistics, and Python will be beneficial but is not mandatory. 

The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

The minimum recommended system requirement is to have a workstation or laptop with at least 8GB of RAM and an internet connection. 

This Bootcamp is conducted in a blended learning mode, which includes Live Instructor-Led training and modules of self-paced learning. Apart from this, there will be assignments, assessments, quizzes, and projects to supplement the learning and build a job-worthy portfolio.  Once you complete your learning, there will also be a special module to get you interview ready with mock interviews, portfolio reviews, and more! 

Absolutely! This data analyst course has been created to take you from zero data analytics skills to expert level. You will be coached on the fundamentals of programming, mathematics, and statistics and go on to learn intermediate and advanced level tools and technologies to work with large datasets. You can take up this course even if you are not from a tech background. 

Our live training sessions will be conducted over a video conference platform. These sessions will be interactive where the learners will have the chance to get their doubts clarified by the trainer. 

This bootcamp includes sessions that are live as well as pre-recorded content which will be a part of the self-learning modules.  

You will be given login credentials to attend the live classes and another login for PRISM - our state-of-the-art learning experience platform.  

All our classes start with a quick recap of the previous session. You will also be able to access class recordings from PRISM. It is recommended to attend all the live sessions for training and mentoring.  

Workshop Experience

Currently, the Data Analyst Bootcamp is offered online as live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts.

Our Data Analyst Bootcamps online are led by instructors who are experts in the domain of Data, with vast industry experience, and a passion to teach. You will learn fundamental concepts, practical aspects, and best practices in Data Analytics in the Bootcamp.

Our Data Analyst Bootcamp is delivered through a blended learning model that includes live virtual classrooms. It includes 115 hours of live instructor-led sessions.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an expert in the domain. The focus is on finding practical solutions to real-world scenarios in various project environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors for the course use an extensive set of collaboration tools and techniques which improve your online training experience.

Yes, you can switch your start date for the course with prior notice of at least 24 hours and subject to availability in the desired batch. 

Additional FAQs

Additional FAQs

Data is a collection of information obtained by observations, measurements, research, or analysis. In a computer, data can be stored as written documents, images, audio recordings, software programs, or other in other forms. 

Data Analytics is the science of analyzing raw data to generate useful information. This data may be in the form of business information, product information, or market trends. 

Data analytics is important because it helps an organization to optimize its performance, function more effectively, maximize profit and make more strategic decisions. It aids in the analysis of customer behavior, which may lead to the development of new and improved goods and services. 

The KnowledgeHut Data Analyst Bootcamp certification is built for learners with zero or minimal coding experience to learn the essential skills on the go. There are no educational prerequisites to sign up for the Bootcamp. It will benefit you if you understand basic mathematics and statistics and have experience with general-purpose programming languages like Python, R, Java, and C++. 

The data analyst's role is to sort through a large amount of raw data and then produce relevant insights throughout the process. The top skills a Data Analyst should know are:

  • Data Visualization 
  • Data Cleaning 
  • R Programming Language 
  • Python 
  • Linear Algebra and Calculus 
  • Microsoft Excel 
  • Critical Thinking 
  • Communication 

The Data Analytics Boot Camp at KnowledgeHut can help you master these skills quickly. 

The key responsibilities of a data analyst involve cleaning and maintaining data systems, interpreting data, presenting, and effectively communicating predictions, trends, and patterns. 

Another important task a Data Analyst must practice is critical thinking. It is not enough to merely examine data but to comprehend it and extend its implications beyond the statistics alone.

While a bachelor's degree is the most common entry-level qualification and a master's degree in data analytics can get you higher pay, you can begin your Data Analyst career with or without a degree by building your technical skills.

KnowledgeHut’s Data Analyst Bootcamp is an intensive program for learners that covers all facets of data analysis, starting from the foundational phase and gradually moving into the advanced phase. 


 

Data analysts gather, clean, and study data to assist in business decisions. If you desire to work in this in-demand profession, you must first develop your technical abilities.

  • Data analysis 
  • Data collection and management  
  • Data organization  
  • Data storage 
  • Data visualization 

Becoming proficient in these skills will help open a plethora of opportunities and make you indispensable to your organization. You can leverage KnowledgeHut’s Data Analytics Boot Camp to swiftly grasp these skills and become immediately hirable. 

Data Analysts are in great demand in today's digital age, and the rewards are numerous. Here are some of the key benefits that Data Analysis has for the business:

  • Customer Acquisition and Retention 
  • Personalization of Service 
  • Risk and Fraud Reduction  
  • Proactivity and innovation 
  • Cost optimization 
  • Improved Efficiency 
  • Delivering Relevant Products 
  • Optimizes Customer Experience 
  • Enables Enterprises to make more Strategic Decisions 

Yes, Data Analysts have a bright and rewarding future!

Skilled data analysts are among the most sought-after professionals in the world with job opportunities ranging from finance to marketing to social media and more.

You can begin as a data analyst, advance your abilities as a data analyst, and even work your way up to a data scientist through more advanced certifications. Data Analysts are indispensable to an organization's success and command excellent salaries for their versatile skillset. 

Data has become an essential component of every industry to make strategic and informed decisions. This raises the demand for data analysts across industries and corporate levels making it one of the top employment options. The data centers in India and internationally are witnessing a major boom. As per the reports from JLL, the data industry will grow to double its capacity by 2023. 

Organizations nowadays have access to plenty of data and must seek solutions that are both speedy and cost-effective for proper data analysis. The most usual challenges businesses face when managing data are:

  • Managing the influx of data 
  • Collecting meaningful and real-time data 
  • Managing data coming from multiple sources 
  • Making collected raw data readable 
  • Inaccessible data 
  • Poor quality data 
  • Lack of necessary analytical skills 

Organizations face a lack of skilled Data Analysts who can gather, manage, and maintain company data efficiently. You may benefit from KnowledgeHut's best Data Analytics Bootcamp to become a qualified Data Analyst for a successful career. 

While a bachelor's degree is the most common entry-level qualification and a master's degree in data analytics can get you higher pay, you can begin your Data Analyst career with or without a degree by building your technical skills.

KnowledgeHut’s Data Analyst Bootcamp is an intensive program for learners that covers all facets of data analysis, starting from the foundational phase and gradually moving into the advanced phase. It will benefit you if you understand basic mathematics and statistics and have experience with general-purpose programming languages like Python, R, Java, and C++. 

There are no data analyst bootcamp eligibility criteria that a candidate needs to fulfil. Anyone who wants to transition to a rewarding career in data analytics or accelerate their existing data analyst career can consider enrolling in a Data Analyst Bootcamp from KnowledgeHut.

Anyone can gain strong data science skills on-the-go by covering the data analyst bootcamp syllabus. This program covers all facets of data analysis, starting from the foundational phase and gradually moving into the advanced phase.

Typical candidate profiles best suited for our Data Science Bootcamp are:

  • Statisticians 
  • Python Developers   
  • Applications Architects  
  • Data Analysts   
  • Product Managers   
  • Professionals looking for a career change   

Data Analysts are in high demand for the success they bring to organizations through their versatile skillset. Some of the top-paying companies for Data analysts are Oracle, Google, Microsoft, MicroStrategy, SAS, Accenture, Tata Consultancy, Services Ernest & Young, HSBC, Infosys, Cognizant, Cisco Systems, etc. 

As an individual in the technical field, becoming a Data Analyst is an amazing career opportunity. There is a huge scope for growth and rewards in this profession.

As a Data Analyst, you can increase your income in the following ways:

  • Gain more experience 
  • Pursue an advanced degree  
  • Master the necessary skills through certifications 
  • Negotiate effectively by comparing your income with the global market 

Salary structures also vary according to the industry and country you work in. KnowledgeHut offers comprehensive Bootcamp Data Analytics Training and other popular courses to prospective professionals aiming to make it big in their tech careers. Here are the links for some of the best data analyst bootcamps or courses by KnowledgeHut - 

With an average base compensation of $71,909 (Indeed.com), employee benefits, a rewarding career, and other advantages, a data analyst is an extremely lucrative profession. It is one of the hottest occupations of the decade, allowing professionals to have long and fulfilling careers. 

Data Analyst positions are in great demand across industries and are compensated handsomely. You may begin as a data analyst and work your way up to senior-level analyst, analytics manager, director of analytics, or even chief data officer (CDO).

Here are some of the top Data Analytics Certifications that you can pursue:

  • Certified Analytics Professional (CAP)  
  • Microsoft Certified Azure Data Scientist Associate  
  • Cloudera Certified Associate (CCA) Data Analyst  
  • Associate Certified Analytics Professional (ACAP)  
  • SAS Certified Data Analyst (Using SAS9) 

 

The first step in becoming a Data Analyst is to understand the duties you will need to perform. The following are the most common responsibilities of a Data Analyst: 

Understanding the Goal - Data Analysts need to evaluate the resources, understand the business problem, and then collect the proper data. 

Querying - Data Analysts need to write SQL queries to collect, store and derive information from databases like Microsoft SQL Server, Oracle, and MySQL. 

Data Mining - Data Analysts mine data from multiple sources and structure them to build data models which help in enhancing the system’s efficiency. 

Data Testing - With the help of analytical and statistical techniques, Data Analysts perform a logical examination of data. 

Interpretation of Data Trends - Using different libraries and packages, Data Analysts identify trends and patterns from complex data thereby providing important insights to the organization.

Preparation of Reports - Organizations can make timely decisions with the help of the summary reports prepared by Data Analysts. They perform this task using Data Visualization tools like Tableau, Google Charts, or other platforms. 

There is a significant gap between the demand for and supply of qualified data analysts. The data centers in India and internationally are witnessing a major boom. As per the reports from JLL, the data industry will grow to double its capacity by 2023.

The top industries that hire data analysts are as follows:

  • Business Intelligence 
  • Finance 
  • Healthcare 
  • Sharing-based economy
  • Entertainment 
  • Government

Enroll for KnowledgeHut’s Data Analytics Boot Camp to gain the skillset desired by top employers globally. 

Excel, GitHub, SQL, Python, and Tableau are tools you will learn to use in this Data analyst bootcamp.  

You can start your Data Analyst career after you have gained the foundational knowledge of data concepts and a working knowledge of tools used by data analysts. Once you have acquired these necessary knowledge and skills then you will need to practice these skills on real projects to familiarize yourself with the application of these skills. This would give you a good platform to start your data analyst career.  

Pandas, PyTorch, TensorFlow, Scikit-learn, and Keras are all popular data frameworks in use today that would help you in data science. In this course you will learn to work with Pandas. 

The projects that are covered under Data Analyst Bootcamp are designed to assess your learning and prepare you for handling real projects like the ones you will work on when you start your career as a Data Analyst. 

The process of learning to become a Data Analyst will not be too different based on where you might join. If you intend to work in a product-based company, you can try doing the type of projects that you will be expected to do in a product-based company so that you would know how to apply your knowledge and skills in the correct context. 

The learning path for Data Analysts involves:

  • Learning basics of data analysis with Excel 
  • Using GitHub to collaborate on projects 
  • Understanding mathematical and statistical concepts in data analysis 
  • Tools and techniques in Python to analyze data 
  • Using Tableau to visualize data 

The cost of the Data Analyst Bootcamp will vary according to your location. To find the data analytics bootcamp cost that is applicable to your location, please take a look at our schedules section. 

Excel, Tableau, Power BI, Qlik Sense, Apache Spark are all highly effective apps to learn for a data analyst. 

Learning about all the data analysis concepts and learning to work with the popular data analysis tools will give you a good understanding of the role of a data analyst. To be confident to ace an interview though, you will need to practice working on projects that are work related or simulates a real-world environment. A great thing about the KnowledgeHut Data Analyst Bootcamp is that it has a module dedicated to getting you ready to launch your tech career. With mock interviews, CV and portfolio reviews, and more with experienced industry mentors, you’ll be all set for a thriving career as a Data Analyst. 

What Learners Are Saying

Reviews

A
Atish Kumar Web Developer
5
Good program with the best set of instructors I've ever seen in my life. They are very knowledgeable and pair learning with real-life incidents from their experience. Really helped me understand concepts better.

Attended Data Analyst Bootcamp workshop in December

K
Ken Liu Salesforce Administrator
5
From MS Excel to Tableau, this data analyst bootcamp covers all the technologies a data analyst needs to know in a structured manner. From guided exercises to capstone projects, you grasp all these skills in the best way.

Attended Data Analyst Bootcamp workshop in December

L
Lewis Brown Database Administrator
5
I've always been interested in a career in Data Analytics but never knew how to get started. I'm glad I gave this course a try. The wonderful instructors, learning material and projects are just too good.

Attended Data Analyst Bootcamp workshop in December

S
Samuel Kinison Digital Marketing Manager
5
This course helped me become an expert Data Analyst by helping me master important technologies. These were Python, SQL, Git/GitHub, and Tableau. You need skills in these as a data analyst and I developed mine thanks to KH.

Attended Data Analyst Bootcamp workshop in December

N
Noah Weber Product Manager
5
I don't have a coding or data background. What made me comfortable with this course is the Math and Stats foundation module they started with. It made me confident and paved the way for a seamless learning experience.

Attended Data Analyst Bootcamp workshop in December