Data Analytics For Professionals
Atul HarshaSenior Manager Content
In the digital world that we are living in today, data is what helps you make solid decisions. The rise in data analytics jobs and the promising job options for freshers makes it a very exciting course option. Taking admission in a Data Analytics online course is a step towards understanding the essence of this domain.
Understanding Data Analytics
Data analytics is all about analyzing raw data to come up with conclusions. It's a subset of business analytics. Tools like NVivo and KNIME are commonly used for managing and analyzing data.
How to become a Data Analyst?
To become a data analyst, you require a combination of education, skills and practical experience. Here is a basic guide on how can you become a data analyst:
This table provides a clear and organized pathway for you. Following these steps, continuously learning and adapting to new trends and technologies in the field will help you successfully have a career in data analytics.
| 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. |
Career Path of a Data Analyst
If you want to start your journey as a data analyst in 2025, this table guide is for you. It considers the evolving trends in data analytics, the increasing integration of AI and machine learning and the 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 |
Data Analytics Online Course
Online data analytics courses are great for you if you want to learn data analytics along with your 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 |
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.
Data Analysts freshers like you are in demand, not only in the IT industry but also in Finance, Insurance, Banking, Marketing and sales, Consumer Goods, Electronics, etc. Check the table below for some options.
| 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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Student Forum
Anything you would want to ask experts?Answered 2 weeks ago
BE in CSE with Big Data Analytics at Chandigarh University is perfect for students interested in data and technology. The programme is linked with IBM, so you learn modern industry methods while still in college. You study how to handle big data, build predictive models, and solve real business prob
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Beginner-Level 5
Answered 3 weeks ago
The Bachelor of Engineering in Computer Science and Engineering with a specialisation in Big Data and Analytics at Chandigarh University provides students with knowledge of data processing, analytical tools, and programming. The curriculum includes subjects such as data mining, machine learning, and
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Beginner-Level 4
Answered a month ago
Chandigarh University ensures strong placement support for BE Data Science students as Big Data and Analytics comes under that program. The programme includes IBM mentorship, lab-based learning, and industry-focused projects to develop practical expertise. Students learn advanced topics like AI, mac
A
Beginner-Level 4
Answered a month ago
Chandigarh University offers strong placements for CSE students specializing in Big Data and Analytics. This specialisation is part of the BE CSE–Data Science programme and is AICTE-approved. The programme is industry-sponsored with IBM collaboration, which ensures that students gain practical skill
M
Beginner-Level 3
Answered a month ago
CSE placements at Chandigarh University, in general, are robust and structured, providing students with excellent career opportunities. The university has a dedicated training and placement cell that prepares students through coding workshops, mock interviews, and aptitude tests. Companies from top
Beginner-Level 5
Answered a month ago
From my perspective, BE in CSE with a specialisation in Big Data and Analytics at Chandigarh University is highly beneficial for career growth. The placement opportunities are solid, with companies from IT services and product sectors recruiting students skilled in analytics. Engineering dept also e
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Beginner-Level 1
Answered a month ago
It is a smart choice to take admission in Chandigarh University for CSE with IBM Data and Analytics. This four year programme is made for the rising need of data experts in IT. The course helps students to understand data Science concepts and use them for solving business problems.
Here, students lea
Beginner-Level 4
Answered a month ago
At Chandigarh University, the focus is on making B.E. CSE Big Data and Analytics students fully prepared for placements. The faculty in the Engineering Department guide us through real-world projects and hands-on labs, teaching tools like SQL, Hadoop, and Tableau. CU also organizes internships, work
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Beginner-Level 5
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The Binghamton University provides and MS in Data Analytics program which offers students with advanced skills in statistical analysis and data-driven decision-making. The programme electives focus on technical and analytical areas such as machine learning, predictive analytics, data mining, and inf
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