Updated on Sep 28, 2023 05:34 IST
Atul Harsha

Atul HarshaSenior Manager Content

In the digital age, data is the cornerstone of decision-making. The surge in data analytics jobs and the promising data analytics career path have led many individuals to explore this burgeoning field. Enrolling in a data analytics online course is a step towards gaining expertise and understanding the nuances of this domain.

Understanding Data Analytics

Data analytics involves examining raw data to draw conclusions and insights. It's a subset of business analytics, focusing on processing and interpreting complex datasets to inform business decisions. Tools like NVivo and KNIME are often used for managing and analyzing data.

 

Latest Statistics and Data Analytics Trends for 2023

  • The global market for data analytics is expected to be worth over $100 billion in 2023.
  • The analytics market size is seen to grow to a $57 million industry by 2023.
  • 91.9% of organizations achieved measurable value from data and analytics investments in 2023.
  • More businesses will operationalize AI, and analytics will become more pervasive, democratized, and composable in 2023.
  • The big data analytics market is set to reach $103 billion by 2023
  • Investors have poured in $43.8 billion in 1,300 big data analytics companies as of February 2023
  • Poor data quality costs the US economy up to $3.1 trillion
  • The big data analytics market soared by 62%, from $169 billion in 2018 to $274 billion in 2022, and is anticipated to create $103 billion by 2027

 

How to become a Data Analyst?

Becoming a data analyst requires a combination of education, skills acquisition, and practical experience. Below is a step-by-step guide on how to become a data analyst:

Category Action Items Details
Educational Background A. Obtain a Bachelor’s Degree - Opt for degrees in Statistics, Mathematics, Information Technology, or Business.
  B. Take Relevant Courses - Focus on courses in statistics, mathematics, computer science, and business.
Technical Skill Development A. Learn Programming Languages - Become proficient in Python or R.
  B. Master Database Management - Learn SQL for effective database management.
  C. Learn Data Visualization Tools - Familiarize with tools like Tableau or PowerBI.
Knowledge in Data Analytics A. Enroll in Online Courses and Certifications - Choose platforms like Coursera, edX, or Udemy.
  B. Understand Data Processing - Learn about data cleaning, transformation, and processing.
Practical Experience A. Work on Real Projects - Engage in real-world data analytics projects.
  B. Create a Portfolio - Showcase your data analytics projects and skills.
Job Application Process A. Prepare Resume and Cover Letter - Highlight skills, education, and experience.
  B. Apply for Entry-Level Positions or Internships - Target relevant data analyst positions.
Continuous Learning & Networking A. Pursue Advanced Degrees or Certifications - Consider further education in data analytics or related fields.
  B. Join Data Analytics Forums and Groups - Network with professionals and stay updated on industry trends.
Career Advancement A. Gain Experience in the Field - Work in various roles to accumulate experience.
  B. Continuously Update Skills - Learn about the latest tools, technologies, and best practices in data analytics.

This tabular guide provides a clear and organized pathway for aspiring data analysts. Following these steps, continuously learning, and adapting to new trends and technologies in the field will help individuals successfully establish a career in data analytics.

 

What Skillsets are required to become a Data Analyst in 2024?

 

Skill Description Real-Life Application
1. Statistical Knowledge Understanding of statistical concepts and methodologies.

- Conducting hypothesis testing to validate assumptions and make informed decisions.

- Utilizing probability distributions to model uncertain events in data analysis.

2. Programming Skills Proficiency in languages like Python or R for data manipulation and analysis.

- Using Python to automate the collection and cleaning of data from multiple sources.

- Employing R for advanced statistical analysis and data visualization.

3. SQL Expertise Ability to write and execute complex SQL queries for database management.

- Writing SQL queries to join multiple tables from a database, providing a comprehensive dataset for analysis.

- Utilizing SQL for data filtering and sorting to facilitate efficient analysis.

4. Data Visualization Capability to create clear, insightful visual representations of data.

- Creating interactive dashboards using Tableau to present data insights to stakeholders.

- Designing clear and concise data visualizations to represent complex data trends and patterns.

5. Data Cleaning Skills to clean and organize raw data into a usable format.

- Employing data cleaning techniques to handle missing or inconsistent data, ensuring the reliability of the dataset for analysis.

- Using data transformation methods to normalize and standardize data.

6. Problem-Solving Ability Capacity to approach and solve complex issues analytically.

- Identifying the root cause of data discrepancies and developing strategies to address them.

- Analyzing large datasets to uncover hidden patterns and insights to solve business problems.

7. Machine Learning Knowledge Understanding of machine learning algorithms and their application.

- Implementing machine learning algorithms to develop predictive models for customer behavior.

- Utilizing machine learning to automate the classification and segmentation of data.

8. Business Acumen Insight into business operations and strategies.

- Analyzing sales and customer data to provide actionable insights for marketing strategies.

- Utilizing data analysis to optimize supply chain operations and improve business efficiency.

 

Career Path of a Data Analyst

This is a career path for someone who wants to start their journey as a data analyst in 2024. It considers the evolving trends in data analytics, the increasing integration of AI and machine learning, and the continuous demand for advanced analytical skills.

 

Year Position Responsibilities Skills and Tools
2024 Entry-Level Data Analyst - Collecting and interpreting data - Analyzing results - Reporting the results back to relevant teams - Excel, Basic SQL, Basic Statistical Analysis, Data Visualization Tools (e.g., Tableau)
2026 Intermediate Data Analyst - Mining data from primary and secondary sources - Cleaning and pruning data - Analyzing and visualizing data - Advanced SQL, Python/R, Data Cleaning Tools (e.g., Trifacta), Advanced Data Visualization
2029 Senior Data Analyst - Designing and maintaining data systems and databases - Troubleshooting data-related problems and authoring reports - Machine Learning Algorithms, Advanced Analytics Tools (e.g., SAS, Apache Hadoop), ETL Tools (e.g., Talend)
2032 Data Scientist - Creating advanced analytics models - Utilizing machine learning and AI to analyze data - Advanced Machine Learning, AI Integration, Big Data Tools (e.g., Spark, Hive), Cloud Platforms (e.g., AWS, Azure)
2035 Data Analytics Manager - Overseeing analytics teams - Developing strategies for data analysis and reporting - Leadership Skills, Project Management Tools (e.g., Jira), Data Governance, Strategic Planning
2039 Director of Data Analytics - Directing and organizing the analytics department - Ensuring data accuracy and usability - Strategic Thinking, Organizational Skills, Change Management, Advanced Data Strategy
2044 Chief Data Officer (CDO) - Overseeing the organization's data and analytics strategy - Ensuring data governance and compliance - Executive Leadership, Policy Knowledge, Risk Management, Corporate Strategy

Note:

  • The above table outlines a potential career progression for a data analyst starting in 2024. The years are indicative and represent the time spent in each role, which may vary for different individuals.
  • Continuous learning and upskilling are crucial at every step to stay abreast of the latest trends and technologies in the data analytics domain.
  • Additional certifications and qualifications in relevant areas will further enhance career progression opportunities.

 

 

Who can Enroll? Data Analytics Online Course Eligibility Criteria

Who Can Enroll? Background Objective
1. Students - Students from various fields including Statistics, Mathematics, Computer Science, Information Technology, and Business.

- To gain foundational and advanced knowledge in data analytics.

- Enhance future career prospects and prepare for data analytics roles.

2. Working Professionals - Professionals from sectors like IT, Finance, Marketing, and Healthcare.

- To upskill and transition into data analytics roles.

- Leverage data analytics for better decision-making in their current roles.

3. Entrepreneurs/Business Owners - Individuals who own or manage a business. - To understand and utilize data analytics for improving business decision-making and strategies.
4. Career Changers - Individuals from diverse professional backgrounds seeking a career shift. - To acquire the necessary skills and knowledge for a successful career in data analytics.
5. Freelancers - Independent professionals offering various services. - To add data analytics to their skill set and provide additional services to clients.

 

 

Data Analytics Online Course

Online data analytics courses are ideal for working professionals who wish to learn data analytics along with their day-to-day job.

Course Name Skills You'll Gain Rating Level Duration
Google Data Analytics Data Analysis, Data Management, Business Analysis, SQL, Spreadsheet Software, Data Analysis Software, Data Visualization, Databases, Critical Thinking, Data Structures, Problem Solving, Programming Principles, and more. 4.8 (127.7k reviews) Beginner 3 - 6 Months
IBM Data Analyst Data Analysis, Python Programming, Data Visualization, Computer Programming, Data Management, Statistical Programming, Exploratory Data Analysis, Data Analysis Software, Statistical Analysis, Data Structures, Basic Descriptive Statistics, and more. 4.6 (69.3k reviews) Beginner 3 - 6 Months
Introduction to Data Analytics Data Analysis, Data Management, Big Data, Basic Descriptive Statistics, Data Visualization, Databases, Python Programming, Cloud Computing, Data Mining, Machine Learning, Data Science, Microsoft Excel. 4.8 (12.8k reviews) Beginner 1 - 3 Months
Google Advanced Data Analytics Communication, Computer Programming, Data Analysis, Exploratory Data Analysis, General Statistics, Machine Learning, Probability Distribution, Project Management, Python Programming, Regression, Statistical Analysis, Tableau Software. 4.7 (1.7k reviews) Advanced 3 - 6 Months
Business Analytics with Excel: Elementary to Advanced Business Analysis, Data Analysis, Data Visualization, Spreadsheet Software, Data Model, Decision Making, Microsoft Excel, Process Analysis, Statistical Visualization. 4.7 (739 reviews) Intermediate 1 - 3 Months

Data Analytics Syllabus

A data analytics course consists of the following topics: 

Syllabus of Data Analytics

Data Structures and Algorithms

Probability and Statistics

Relational Database Management Systems

Business Fundamentals

Text Analytics

Data Collection

Data Visualization

Statistical Analysis

Forecasting Analytics

Simulation

Machine Learning

Optimization

Marketing Analytics

Pricing Analytics

Social Network Analysis

Retail Analytics

Customer Analytics

Supply Chain Analytics

Some of the software tools taught in the course are:

R

Power BI

MySQL

MongoDB

Hadoop

Tableau

Python

Excel

SAS

Scala

 

Check out data analytics interview questions to ace the interview round

Read More: Advance Your Career Through Post-Graduate Course in Data Science

Want to ace the role of Data Analyst? Check the Top Data Analyst Interview Questions and Answers

 

Top Companies Hiring Data Analytics Professionals 

In today’s world, Data Analytics is the need of the hour. If a business enterprise has to excel in its field, it has to take the help of data analysis and data science. With the help of data analytics companies can not only increase their revenue, expand the customer base, provide better customer satisfaction, cut cost, but also get an edge over their competitors.

Data Analysts are the most sought-after skilled professionals in the current world, not only in the Information Technology industry but also in Finance, Insurance, Banking, Marketing and sales, Consumer Goods, Electronics, Heavy Industries and all other sectors; as all of them require someone to do the number crunching for them.

Companies Hiring Data Analytics Graduates

Google

MachinePulse

The Smart Cube

Fractal

Amazon

Novartis

Fractal Analytics

JP Morgan Chase

Capital One

RBS

ICICI Bank

Flipkart

Kotak Mahindra

Accenture Consulting

KPMG

Yahoo

Twitter

Tumblr

Tredence

Cartesian Consulting

Quantium Analytics

Deloitte

HSBC

Credit Suisse

Barclays

Axis Bank

E-bay

Expedia

AT Kearney

CRISIL

Microsoft

LinkedIn

Mu Sigma

BRIDGEi2i

Flytxt

Tata iQ

Citi Bank

Deutsche Bank

Nomura

HDFC Bank

Yes Bank

Snapdeal

Make My Trip

E&Y

Walmart Labs

Facebook

Instagram

ZS Associates

Brillio

Bank of America

-

Crack Machine Learning Interview with our Top Machine Learning Interview Question and Answer Series

 

Popular Data Analytics For Professionals Colleges in India

Following are the most popular Data Analytics For Professionals Colleges in India. Learn more about these Data Analytics For Professionals colleges (Courses, Reviews, Answers & more) by downloading the Brochure.
2 Courses
4.1 L - 4.8 L
4.53 - 5.5 LPA

Data Analytics Applications open. Apply Now

3 L
4.8 LPA
6.14 LPA
13.8 L
5.85 L
5.2 LPA
2.53 L
3.6 LPA

Popular Private Data Analytics For Professionals Colleges in India

1 Course
9.85 L
3.0
1 Course
10 L
4.8
6.98 L
4.5 LPA

Data Analytics Applications open till Jan 21, 2025. Apply Now

1 Course
4.4 L
3.5 LPA
1 Course
3.25 L
1.9
2 Courses
1.5 L - 7.28 L
6 LPA

Data Analytics Applications open till Jan 21, 2025. Apply Now

Popular Data Analytics For Professionals UG Courses

Following are the most popular Data Analytics For Professionals UG Courses . You can explore the top Colleges offering these UG Courses by clicking the links below.

UG Courses

Popular Data Analytics For Professionals PG Courses

Following are the most popular Data Analytics For Professionals PG Courses . You can explore the top Colleges offering these PG Courses by clicking the links below.

PG Courses

Popular Exams

Following are the top exams for Data Analytics For Professionals. Students interested in pursuing a career on Data Analytics For Professionals, generally take these important exams.You can also download the exam guide to get more insights.

Jun '24

CT SET 2024 Counselling Start

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Jun '24

CT SET 2024 Result

TENTATIVE

25 Dec ' 24 - 25 Jan ' 25

MAH MCA CET 2025 Registration

Feb '25

MAH MCA CET 2025 Admit Card

TENTATIVE

21 Feb ' 25

SAT Registration Deadline for March Test

25 Feb ' 25

SAT Deadline for Changes, Regular Cancellation, a...

19 Dec ' 24

Karnataka PGCET Counselling: Last Date to Report ...

16 Dec ' 24

Karnataka PGCET Final Allotment Results (Final Ro...

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Write here...

Answered 19 hours ago

 
 

SASTRA University offers an M.Sc. in Data Science with the following details:

Eligibility Criteria:

  • Educational Qualification: A bachelor's degree in a relevant field from a recognised institution.

  • Subject Requirements: Completion of +2 (12th grade) with Mathematics and Physics as compulsory subjects

...more

A

Ankit kumar

Contributor-Level 9

Answered 2 days ago

The application fee for the MSc Management with Data Analytics programme at BPP University is not mentioned anywhere on the website. There might be no cost associated with submitting an application for this program. For queries, students can reach out to the admission office. 

M

Misha

Contributor-Level 10

Answered 2 days ago

No, prior work experience is not a prerequisite for enrollment in BPP University's MSc Management with Data Analytics program. The necessary requirement is-

  • A minimum of a 2:2 Honours degree in a related subject (e.g. STEM – Science, Technology, Economics, Maths) from a UK or recognised international

...more

M

Misha

Contributor-Level 10

Answered 2 days ago

The MSc Management with Data Analytics programme has been developed to help students gain a core understanding and competency of modern management theories. Here are the key resources and services provided:

  • The programme is developed in collaboration with corporate clients and informed by market insi

...more

M

Misha

Contributor-Level 10

Answered 2 days ago

The annual tuition for the MSc Management with Data Analytics programme at BPP University is £17,100 (INR 18,30,596). The tuition fee for MSc Management with Data Analytics and Professional Development Planning is £21,400 (INR 18,30,909). Students are also required to submit a deposit of £350 (INR 2

...more

M

Misha

Contributor-Level 10

Answered 4 days ago

These are the top institute for  best data Science afteri compleation of bca 

  1. IIT Bombay

  2. IIT Madras

  3. VIT

  4. MAHE

  5. upGrad

K

Khushi Gupta

Contributor-Level 10

Answered a week ago

Great choice! Mumbai has numerous great courses in data analytics. Some of the best ones include:

NMIMS: Bachelor of Data Science.

Saraswati College of Engineering: Bachelor of Data Science.

Amity University: PG Diploma in Data Science.

K. J. Somaiya College of Engineering: PG Diploma in Data Science.

St

...more

K

Khushi Gupta

Contributor-Level 10

Answered 2 weeks ago

The 360DigiTMG Professional Course in Data Analytics covers essential skills and tools for data processing and visualization. Participants learn to use Excel, SQL/NoSQL, Tableau, and PowerBI, focusing on data preparation, cleansing, and exploratory data analysis. The curriculum includes advanced con

...more

C

Chanchal Aggarwal

Contributor-Level 10

Answered 2 weeks ago

The PGDM in Data Analytics at IILM University is a two-year full-time master's level program. Here are some key details:

 

 Program Overview

Duration: 2 years

Eligibility: Graduation and appearing in any of the management competitive exams like CAT, MAT, XAT, GMAT, CMAT, ATMA, NMAT, etc.

Specialization:

...more

A

ABHINAV SRIVASTAVA

Contributor-Level 8

Answered 3 weeks ago

Please refer below for the top BSc Data Science colleges in India and top MSc Data Science colleges in India that offer the highest Return on Investment to their students in the form of placement packages:

College Name

Tuition Fee

Annual Median Package

IIM Bodh Gaya Placement

INR 9.6 lakh

INR 15.5 LPA

Jaro Education SNU Placement

INR 7.5 lakh

INR 15 LPA

Goa Institute of Management Placement

INR 19.4 lakh

INR 14.6 LPA

Boston Institute of Analytics Placement

INR 1.05 Lacs – INR 1.65 lakh

INR 6 LPA – INR 12 LPA

Manipal School of Information Science MAHE Placement

INR 3.46 lakh

INR 11.75 LPA

Disclaimer: This information is sourced from official website/ media reports/ NIRF website and

...more

A

Aneena Abraham

Contributor-Level 10

Answered 3 weeks ago

Hi, Data Analysts have an average salary range of INR 1.8 Lacs to INR 13 lakh.

Years of ExperienceAvg Annual Salary
Fresher1.8 LPA - INR 12.8 LPA
1 yearINR 1.8 LPA - INR 13 LPA
2 yearsINR 1.8 LPA - INR 13 LPA

Hope this solved your query!

A

Aneena Abraham

Contributor-Level 10

Answered 3 weeks ago

Yes, Data Analytics can be a good career in India. Data Analytics is in high demand right now accross many sectors like manufacturing, banking, finance, e-commerce, etc. Data Analytics offer extensive opportunities in various fields with salary ranging from INR 2 Lacs - INR 20 lakh. And as India, is

...more

A

Aneena Abraham

Contributor-Level 10

Answered 3 weeks ago

Hi, listed below are the top course levels offered by best Data Analytics colleges in India:

Course LevelNo. of Colleges
Certificate170+
MSc40+
MBA/PGDM30+
BSc30+
B.E./BTech30+
BCA20+
M.E./MTech20+

Hope this answered your question!

A

Aneena Abraham

Contributor-Level 10

Answered 3 weeks ago

Hi, it can be observed that on average equal number of colleges offer different fee category for students as you can refer below.

Total FeeNo. of CollegesPopular Colleges
Free10+Coursera, Great Learning, Accenture, etc.
< INR 1 lakh90+JECRC University, Coursera, Great Learning, etc.
INR 1-2 lakh40+Galgotias University, IUL, NIT Trichy, etc.
INR 2-3 lakh40+Women's Christian College, Galgotias University, Rathinam College of Arts and Science, etc.
INR 3-5 lakh40+MIT-WPU, Presidency College, T. John Group of Institutions, etc.
> INR 5 lakh50+Amity University, Jain Deemed-to-be University, Galgotias University, etc.

Hope this helps you!

A

Aneena Abraham

Contributor-Level 10

Answered 3 weeks ago

Hi, please refer below for the top Data Analytics colleges in India according to students' preferences, popularity, etc.:

College NameTuition FeeEligibility / Exams
MIT-WPUINR 4.1 Lacs - INR 4.8 lakhGATE, PERA CET
Presidency CollegeINR 3 lakhMerit-Based
Amity University NoidaINR 13.44 lakhMAT, XAT, NMAT, CMAT, etc.
Jain Deemed to be UniversityINR 5.85 lakhJET
Women's Christian CollegeINR 2.53 lakhMerit-Based

Hope this helps!

A

Aneena Abraham

Contributor-Level 10

Answered 3 weeks ago

There are around 370+ best Big Data Analytics colleges in India of which 180+ colleges are owned privately,  40+ colleges are owned by the government and 3 colleges are owned by semi government institutions. CAT, CUET, XAT, MAT and GATE are the top entrance exams for admission to best big Data colle

...more

A

Aneena Abraham

Contributor-Level 10

Answered 4 weeks ago

To pursue a PGDM in Big Data Analytics at Adani Institute of Digital Technology Management, you need a bachelor's degree with 50% marks and valid scores from entrance exams like CAT, XAT, GMAT, or MAT. The application process involves submitting an online form with academic details and exam scores.

...more

A

Abhignan bollam

Contributor-Level 10

Answered a month ago

Many colleges provide the choice of BSc in Economics with majors in Analytics or Data Science. Some of them include the University of Warwick in the UK where the focus is put in data analytic within their economics Course. In the same way, the University of Manchester offers the programs where econo

...more

D

Deity of Games

Contributor-Level 10

Answered a month ago

 Adani Institute of Digital Technology Management (AIDTM) also offers an Executive Program in Business Analytics (EPBA). This one-year programme is delivered by industry and academic experts and is designed to minimize disruption to working professionals.

The PGDM in Big Data Analytics programme at A

...more

7388054
Surbhi Sahu

Guide-Level 13

Answered a month ago

The aptitude assessment is a two-part procedure  which is basically assessing your application (your grades, Bachelor's curriculum, letter of motivation, scientific essay, cv) and giving your application a score out of 100.

TU Munich Aptitude Assessment Score Breakdown:

  1. Academic Qualifications:55 poin

...more

M

Misha

Contributor-Level 10

Answered a month ago

NIT Andhrapradesh offers eight specialisations in M.Tech courses. In addition, the institute offers around 90 seats for all its M.Tech courses, and 15 seats are offered in M.Tech in Computer Science and Data Analytics. For NIT Andhra Pradesh M.Tech admissions, candidates are required to qualify for

...more

V

Vishakha

Contributor-Level 10

Answered a month ago

Clarkson University and California State University East Bay are two popular universities in the USA for international students. They both rank among the top universities in the USA and offers quality education at affordable cost. The below table includes the comparision between them in terms of the

...more

43308123
Chandra Shekhar

Contributor-Level 10

Answered a month ago

Clarkson MS in Data Analytics ranks among the best in the world by Fortune 2022. A master's in Data Analytics qualifies graduates for jobs like Clinical analyst, Data analyst, Database administrator, Data Engineer, etc. The median pay for the field at Clarkson was more than USD 100K (INR 84.39 L) a

...more

43308123
Chandra Shekhar

Contributor-Level 10

Answered a month ago

To get into the B.Tech. Computer Science and Medical Engineering (Artificial Intelligence and Data Analytics) programme at Sri Ramachandra Faculty of Engineering and Technology, you must meet the following requirements:

Pass the final exam of any board (CBSE, HSC, ICSE, and ISC) or equivalent with a

...more

7388054
Abhishek singh

Contributor-Level 9

Answered 2 months ago

Absolutely yes, SASTRA Chennai Campus is good for M.Sc in Artificial Intelligence and Data Sciences . 

This institute have a good record of quality education. Faculty members are well qualified and experienced & most of them are Ph.D scholars so they have good knowledge of their subjects.Infrastructu

...more

P

Priyanka Yadav

Beginner-Level 5