Data Analytics For Professionals
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
- Latest Statistics and Data Analytics Trends for 2023
- How to become a Data Analyst?
- What Skillsets are required to become a Data Analyst in 2024?
- Career Path of a Data Analyst
- Who can Enroll? Data Analytics Online Course Eligibility Criteria
- Data Analytics Online Course
- Data Analytics Syllabus
- Top Companies Hiring Data Analytics Professionals
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 | ||
|---|---|---|
| |
MachinePulse |
The Smart Cube |
| Fractal |
Amazon |
Novartis |
| Fractal Analytics |
JP Morgan Chase |
Capital One |
| RBS |
ICICI Bank |
Flipkart |
| Kotak Mahindra |
Accenture Consulting |
KPMG |
| Yahoo |
|
Tumblr |
| Tredence |
Cartesian Consulting |
Quantium Analytics |
| Deloitte |
HSBC |
Credit Suisse |
| Barclays |
Axis Bank |
E-bay |
| Expedia |
AT Kearney |
CRISIL |
| Microsoft |
|
Mu Sigma |
| BRIDGEi2i |
Flytxt |
Tata iQ |
| Citi Bank |
Deutsche Bank |
Nomura |
| HDFC Bank |
Yes Bank |
Snapdeal |
| Make My Trip |
E&Y |
Walmart Labs |
| |
|
ZS Associates |
| Brillio |
Bank of America |
- |
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Popular Data Analytics For Professionals Colleges in India
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Most Popular Courses
Popular Courses
- Introduction to Data Analysis Using ExcelCoursera
- Excel Basics for Data AnalysisCoursera
- Google Data Analytics Capstone: Complete a Case StudyCoursera
- Data Analysis and Visualization Foundations SpecializationCoursera
- Accounting Data Analytics SpecializationCoursera
- Google Cloud Big Data and Machine Learning FundamentalsCoursera
- Data Analysis Using PythonCoursera
- Big Data, Artificial Intelligence, and EthicsCoursera
- Big Data SpecializationCoursera
- Google Data Analytics Professional CertificateCoursera
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Jan 14, 2025
Student Forum
Anything you would want to ask experts?Answered 23 hours ago
USA offers Masters of Science in Data Analytics in some of the top ranked universities for international students. Some of the universities are given as follows:
- Harvard University
- John Hopkins University
- New York University
- Roosevelt University
- Yeshiva University
- Arizona State University
Contributor-Level 10
Answered Yesterday
Yes, candidates can pursue an MBA in Data Analytics without having a degree in BBA Data Analytics. MBA in Data Analytics programs often accept students from various undergraduate backgrounds, including Engineering, Science, Art, and more. While a BBA in Data Analytics might provide a foundational un
M
Beginner-Level 5
Answered Yesterday
Below are the list of Industries that hire a MBA in Data Analytics Graduate:
- IT and Software Development
- E-commerce
- Banking and Financial Services
- Healthcare
- Manufacturing
- Retail
A
Beginner-Level 5
Answered Yesterday
Following are the list of some skills that you need to excel in MBA in Data Analytics program:
- Analytical thinking and problem-solving skills
- Knowledge of programming languages like Python, R, or SQL
- Familiarity with data visualization tools like Tableau or Power BI
- Strong business acumen and communicat
A
Beginner-Level 5
Answered Yesterday
MBA in Data Analytics focuses on combining analytics with management and business strategy. Whereas, MS in Data Analytics is more technical, emphasizing programming, algorithms, and advanced analytics techniques.
P
Beginner-Level 5
Answered Yesterday
MBA in Data Analytics Course typically spans 1-2 years, depending on whether it is pursued full-time Course, Part-Time MBA in Data Analytics, or MBA in Data Analytics Online Courses. Accelerated programs may take 12-18 months.
P
Beginner-Level 5
Answered Yesterday
MBA in Data Analytics is a 2 years post graduate Course that spans four semesters. During each semester, students study a variety of subjects related to management and business analytics. In the third semester, students are required to complete an internship. The Syllabus of MBA in Data Analytics in
K
Beginner-Level 5
Answered 2 days ago
Choosing an MBA in Data Analytics offers a very good combination of business and data expertise which helps in positioning you for leadership roles in a rapidly evolving industry. It provides the skills, knowledge and connections needed to advance your career at the intersection of business and tec
S
Beginner-Level 5
Answered 2 days ago
Below are some important point that describes MBA in Data Analytics Course:
- The duration of MBA in Data Analytics is Typically 18 to 24 months, with options for full-time, part-time, or online study.
- A regular MBA in Data Analytics degree is a two-year course divided into four semesters. However, cert
P
Contributor-Level 10
Answered a week ago
Yes, many MBA colleges in Delhi offer specialiations in emerging fields like Data Analytics or Digital Marketing. For example, institutions like Asia-Pacific Institute of Management, New Delhi, IILM Institute For Higher Education, New Delhi Institute of Management, Indian Institute of Digital Educat
T
Contributor-Level 10
Answered a week ago
Data Analytics specialisation in MBA is rare in Kolkata. Instead, opt for offline courses from local institutes or online platforms like Coursera, edX, or Coding Ninjas for flexible, industry-recognized training.
K
Beginner-Level 1
Answered a week ago
Hi Swetha,
In the Board Exams (for Class 12th), the total marks for Data Science will depend on your respective board (CBSE, ICSE, or State Boards). For CBSE, Data Science is typically offered as an optional subject with a total of 100 marks, divided as follows:
- Theory – 70 marks
- Practical – 30 marks
A
Contributor-Level 9
Answered a week 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
Contributor-Level 10
Answered a week 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
M
Contributor-Level 10
Answered 2 weeks 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
M
Contributor-Level 10
Answered 2 weeks 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
M
Contributor-Level 10
Answered 2 weeks 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
K
Contributor-Level 10
Answered 4 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
C
Contributor-Level 10
Answered a month 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:
A
Contributor-Level 8
Answered a month 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 |
|---|---|---|
INR 9.6 lakh | INR 15.5 LPA | |
INR 7.5 lakh | INR 15 LPA | |
INR 19.4 lakh | INR 14.6 LPA | |
INR 1.05 Lacs – INR 1.65 lakh | INR 6 LPA – INR 12 LPA | |
INR 3.46 lakh | INR 11.75 LPA |
Disclaimer: This information is sourced from official website/ media reports/ NIRF website and
A
Contributor-Level 10
Answered a month ago
Hi, Data Analysts have an average salary range of INR 1.8 Lacs to INR 13 lakh.
| Years of Experience | Avg Annual Salary |
|---|---|
| Fresher | 1.8 LPA - INR 12.8 LPA |
| 1 year | INR 1.8 LPA - INR 13 LPA |
| 2 years | INR 1.8 LPA - INR 13 LPA |
Hope this solved your query!
A
Contributor-Level 10
Answered a month 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
A
Contributor-Level 10
Answered a month ago
Hi, listed below are the top course levels offered by best Data Analytics colleges in India:
| Course Level | No. of Colleges |
|---|---|
| Certificate | 170+ |
| MSc | 40+ |
| MBA/PGDM | 30+ |
| BSc | 30+ |
| B.E./BTech | 30+ |
| BCA | 20+ |
| M.E./MTech | 20+ |
Hope this answered your question!
A
Contributor-Level 10
Answered a month 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 Fee | No. of Colleges | Popular Colleges |
|---|---|---|
| Free | 10+ | Coursera, Great Learning, Accenture, etc. |
| < INR 1 lakh | 90+ | JECRC University, Coursera, Great Learning, etc. |
| INR 1-2 lakh | 40+ | Galgotias University, IUL, NIT Trichy, etc. |
| INR 2-3 lakh | 40+ | Women's Christian College, Galgotias University, Rathinam College of Arts and Science, etc. |
| INR 3-5 lakh | 40+ | MIT-WPU, Presidency College, T. John Group of Institutions, etc. |
| > INR 5 lakh | 50+ | Amity University, Jain Deemed-to-be University, Galgotias University, etc. |
Hope this helps you!
A
Contributor-Level 10
Answered a month ago
Hi, please refer below for the top Data Analytics colleges in India according to students' preferences, popularity, etc.:
| College Name | Tuition Fee | Eligibility / Exams |
|---|---|---|
| MIT-WPU | INR 4.1 Lacs - INR 4.8 lakh | GATE, PERA CET |
| Presidency College | INR 3 lakh | Merit-Based |
| Amity University Noida | INR 13.44 lakh | MAT, XAT, NMAT, CMAT, etc. |
| Jain Deemed to be University | INR 5.85 lakh | JET |
| Women's Christian College | INR 2.53 lakh | Merit-Based |
Hope this helps!
A
Contributor-Level 10
Answered a month 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
A
Contributor-Level 10
Answered a month 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.
A
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
D
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
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:
Academic Qualifications:55 poin
M
Contributor-Level 10
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Which university is best for Data Analytics in the USA?