Data Analyst Bootcamp with AI

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 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. 

You will be given login credentials for PRISM - our state-of-the-art learning experience platform, to attend the instructor-led classes and complete all course requirements.

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 sessions for training and mentoring.  

Currently, the Data Analyst Bootcamp is offered online as instructor-led sessions as well as self-paced on-demand learning.

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 expert-led training of 115 hours, led by experienced instructors. 

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. 

You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy.

We're so confident that with this course, you'll be taking concrete steps toward a thriving career in tech that we offer a 100% Satisfaction Guarantee. Should you require additional clarification, please reach out to your Learning Advisor.

Yes, scholarships are available for students and veterans with grants that can vary up to 50% of the course fees to learn Data analysis. 

To avail scholarships, please get in touch with us at support@knowledgehut.com. The team shall send the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts takes a decision on the Grant. The entire process could take about 7 to 15 days. 

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up to 20% to 30% on the cost of data analytics bootcamp. For more details, please check out upcoming schedules. 

Yes, installment options are available for payment of fee for data analyst bootcamp training online. To avail the installment option, please get in touch with us at support@knowledgehut.com. The team will explain how the installments work and provide timelines for your case. Typically, the number of installments varies from 2 to 3, but the full amount must be paid before you complete the course. 

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 - 

• Big Data Analytics Certification 
• R Programming Language Training 
• Python Certification Training 
• Data Visualization with Tableau Training 

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.