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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Highlights

  • Program Led by Experienced Data Analytics Experts  

  • 115 Hours of Blended Learning with Career Assistance 

  • Curriculum Developed to Take You from Zero to Expert  

  • Immersive Training with Hands-On Exercises and Projects

  • Program Designed to Start  Your Career as a Data Analyst

  • Projects that Help You Stand Out and Showcase Your Skills 

Master the Latest Data Analytics Tools and Technologies

  • Python
  • Tableau
  • SQL

Meet the Rising Demand for Skilled Data Analysts

data-analyst-bootcamp-course

Decision makers across industries depend on insights pulled form 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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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.
Prerequisites

Prerequisites

There are no prerequisites for attending this bootcamp. 

You can learn Data Analytics even without prior technical experience. 

Who Should Attend Data Analyst Bootcamp

IT Professionals

Supply Chain Managers

Sales and Marketing Professionals

Banking and Finance Professionals

Novice Business and Data Analysts

Research and Analysis Professionals

Students interested in Data Analysis

Developers interested in Data Analytics

Course Schedules

Can't find the batch you're looking for?

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What You Will Learn

Mathematical Concepts

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

Probability

Learn about probability theory and different probability distributions and statistical concepts  

Excel Sheets

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

Analysis Using SQL

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

Python Programming

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

Data Visualization

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

Confirming relationships between datasets

Performing Descriptive Statistics on the data

Working with unstructured data such as images and text

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

Train Teams to Produce Actionable Insights

Equip your team to perform powerful data analytics tasks ranging from cleaning and preparing data to drawing out crucial insights and presenting them. 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

Learning Objective: Learn different methods you can use to analyse data in excel sheets. 

Topics
  • 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 how to leverage GitHub for effective version control and smooth collaboration across teams. 
Topics
  • Introduction to Version Control with Git  
  • Git from the Command Line  
  • Everyday Git Commands  
  • Git for collaboration  

Learning Objective: Understand the foundational mathematical and statistical concepts that help you analyse different kinds of data. 

Topics
  • Probability  
  • Statistics  
  • Linear Algebra  
  • Calculus  

Learning Objective: Learn how to use SQL to analyse and manage data using a range of data analysis techniques. 

Topics
  • 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

Learning Objective: Learn how to work with Python for data analytics including data structures, functions, and modules. 

Topics
  • Introduction to Python 
  • Code and Data  
  • Building Blocks  
  • Strings  
  • Data Structures  
  • Flow Control  
  • Functions  
  • Modules  
  • Files  
  • NumPy  
  • Pandas
  • Regular Expression  
  • Visualization  

Learning Objective: Understand Data analysis techniques using Python and learn to use APIs and other tools for data analysis with Python. 

Topics
  • 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: Learn how to work with Tableau to represent data visually, perform calculations, design dashboards and more. 

Topics
  • 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 this bootcamp. You can enroll for the Data Analyst Bootcamp even with zero technical experience. This bootcamp has been designed to take you from zero to expert knowledge through a blend of live, instructor-led sessions, self-paced modules, guided assignments and hands-on projects to master a wide range of skills and technologies and get you job-ready. Any professional interested in learning data analysis can enroll in this bootcamp.  

The minimum recommended system requirement is to have a workstation or laptop with at least 8GB of RAM and a stable internet connection. Using VPNs or disabling cookies on your browser is not recommended and may hamper your Cloud Labs experience.  

For this bootcamp you will need a web browser such as Google Chrome, Microsoft Edge or Firefox. Apart from this you will also need an Anaconda setup, but it can be installed as a part of the program. 

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 all our Data Analyst Bootcamps are 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, interactive, virtual classrooms and can be structured according to the requirements of the bootcamp. The total duration of the data analyst bootcamp is 115 hours. 

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.

You will need a workstation or laptop with Internet access, with at least 8GB of RAM. Apart from that you will also need a web browser such as Google Chrome, Microsoft Edge or Firefox and Anaconda setup is preferred but this can be installed as a part of the program  

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

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Lea Kirsten Senior Developer
5

The learning methodology put it all together for me. I ended up attempting projects I’ve never done before and never thought I could. 

Attended Back-End Development Bootcamp workshop in July 2021

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Amanda H Senior Back-End Developer
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You can go from nothing to simply get a grip on the everything as you proceed to begin executing immediately. I know this from direct experience! 

Attended Back-End Development Bootcamp workshop in June 2021

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Mirelle Takata Network Systems Administrator
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My special thanks to the trainer for his dedication and patience. I learned many things from him. I would also thank the support team for their help. It was well-organised, great work Knowledgehut team!

Attended Certified ScrumMaster (CSM)® workshop in July 2020

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Issy Basseri Database Administrator
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Knowledgehut is the best training institution. The advanced concepts and tasks during the course given by the trainer helped me to step up in my career. He used to ask for feedback every time and clear all the doubts.

Attended PMP® Certification workshop in January 2020

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Godart Gomes casseres Junior Software Engineer
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Knowledgehut is known for the best training. I came to know about Knowledgehut through one of my friends. I liked the way they have framed the entire course. During the course, I worked on many projects and learned many things which will help me to enhance my career. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.

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KnowledgeHut has excellent instructors. The training session gave me a lot of exposure to test my skills and helped me grow in my career. The Trainer was very helpful and completed the syllabus covering each and every concept with examples on time.

Attended PMP® Certification workshop in May 2020

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Ike Cabilio Web Developer.
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I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and I liked his practical way of teaching. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.

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Attended Certified ScrumMaster (CSM)® workshop in January 2020