To become data analyst, choose a course that covers SQL, Python, statistics, Excel, and data visualization tools like Power BI or Tableau. Short-term certifications (3–6 months) and comprehensive PG programs help you gain job-ready skills. Explore globally recognized online and offline data analytics courses based on your career goals.
What Degree Do I Need to Become Data Analyst is one of the biggest considerations for the aspirants of data analytics program. In today’s data-driven world, organisational decisions are no longer based on assumptions but on actionable insights derived from datasets. All businesses from various industries, like healthcare, finance, marketing, and education, rely on technical professionals who can analyse data by extracting insights from it.
This is where the data analyst role becomes valuable. If you are an aspiring data analyst and are willing to enter the high-growth field, then choosing the right course is the most important step in your career. The right program not only helps your technical foundation but also equips you with the analytical mindset and business acumen necessary to interpret the complex information effectively. At edept, we simplify your doubts by helping you explore global courses, certifications, and pathways applicable to your career ambitions. In this blog, we will discuss the different data analysis courses that can help you shape your career path towards becoming a successful data analyst.
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Who is a Data Analyst?
A data analyst is a professional who is responsible for collecting, processing, analysing, and interpreting large amounts of data to assist organisations in making informed decisions. They are the ones who are accountable for transforming raw information into clear insights by using tools and techniques like Excel, Python, SQL, Tableau, and Power BI. Unlike the data scientists who readily focus on predictive modelling and advanced algorithms, data analysts primarily work on understanding patterns and identifying trends, communicating findings through valid reports and visualisations.
Data analysts bridge the gap between business strategy and technical data processing by ensuring that every insight drives actionable impacts. After you master the skills and tools of a data analyst, you position yourself as a valuable problem solver within the organisation.
Why Choose a Career in Data Analytics?
If you are an aspiring candidate for data analytics, here is a reason to pursue your dreams. The demand for data professionals has surged globally, with LinkedIn ranking data analyst among the top emerging roles. As per McKinsey, over 70% of companies are investing in data-driven transformation, which is creating endless opportunities for skilled analytics professionals.
In India alone, the analytical roles have grown more than 30% annually, with an average salary ranging from INR 5 to 12 Lakhs Per Annum, which depends entirely on your skills, level, and specialisation. Internationally, data analysts earn somewhere between $60,000 $90,000 per year, which makes it a lucrative career choice. Apart from the financial rewards, a career in data analytics offers flexibility, remote working facilities, and cross-industry relevance. If you are passionate about business, e-commerce, healthcare, or sustainability, data analytics serves as the foundation for impactful decision-making.
Core Data Analyst Skills
To become data analyst successfully, you have to combine technical expertise with analytical and communication skills. Below is a list of key areas every aspiring data analyst professional must master.
- Statistical and Analytical Thinking – Having a deeper understanding of the logic behind numbers is required. You’ll use statistical methods to identify patterns, correlations, and insights that inform decisions.
- Programming and Data Tools – You have to be proficient with languages like Python and R, which are essential for automation, cleaning, and processing large datasets efficiently.
- Database Management (SQL) – SQL helps you to retrieve and manage data from relational databases, which becomes an essential daily skill in most analytics positions.
- Data Visualisation Tools – As a data analyst, tools such as Tableau, Power BI, and Excel have to be utilised to help convert data into visual dashboards and reports that communicate findings effectively.
- Business Understanding – Apart from data, as a data analyst, you must be able to understand business context and be able to present insights in a way that decision-makers can act upon.
- Soft Skills – Critical thinking, communication, and attention to detail are what distinguish outstanding analysts from good ones.
What Course Should I Take to Become Data Analyst?
To become data analyst, there is no single route to becoming one. Your choice of which course you’re going to pursue depends entirely on your academic background, time commitment, and career objectives. Some of the pathways have been mentioned below, which can be considered based on your preference.
A. Undergraduate Degrees To Become Data Analyst
If you are just starting your academic career, a bachelor’s degrees build a strong foundation. Check the courses below to get a detailed view of the UG Data Analyst Programs:
- B.Tech in Business Analytics & Computer Science is offered by Rishihood University, powered by edept in partnership with KPMG. This complete program incorporates industry expertise with academic distinction. The course builds technical knowledge and logical problem-solving skills. The data analytics course offered here comes with live lectures from KPMG experts, hands-on projects, and optional global immersion programs with UNITAR, and includes mandatory internships along with 100% placement support.
More details on B.Tech in Business Analytics & Computer Science by Rishihood University. Check Now!
- B.Sc. in Data Science focuses on analytics, programming, and mathematical models. Shree LR Tiwari Degree College offers B.Sc. in Data Science powered by edept and supported by KPMG, which is a foundational program providing comprehensive training in data science fundamentals, statistical analysis, and modern analytical tools. This prepares all candidates for careers in data analysis and business intelligence.
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Data Analytics at the Bachelor’s level mostly includes database management, probability, statistics, and data visualisation, enabling students to develop analytical confidence early.
B. Postgraduate Degrees To Become Data Analyst
For graduates who are looking to specialise in data analytics further, postgraduate degrees offer deeper insights into data systems and predictive modelling. These programs open doors to leadership roles and global career opportunities.
- Post Graduate Program in Business Analytics offered by Ramaiah Institute of Management, powered by edept, is supported by KPMG. PGPBA is a specialised program focusing on experiential learning and global viewpoints. The course components include capstone projects by KPMG, complete placement assistance, and advanced analytics training. It is inclusively designed to meet the growing demand for analytics specialists across industries.
C. Certifications To Become Data Analyst
If you aspire to Become Data Analyst and pursue a careerin data analytics but prefer a shorter, skill-based learning pathway, a certification program is a great way to upskill. Below are some of the popular
- Google Data Analytics Professional Certificate
- IBM Data Analyst Certification
- Microsoft Power BI Certification
- Edept’s skill-aligned analytics pathways
The industry-recognised programs discussed here are entirely flexible, offering practical projects and hands-on exposure that make learners job-ready.
How to Choose the Right Data Analytics Course?
As a prospect in data analytics, when selecting the right course, it depends entirely on your personal background and where you want to go professionally. We have provided a comprehensive career path to follow, enabling you to choose the right data analytics course.
What is My Professional Goal?
- Are you a beginner with no background and want to become data analyst? If you are a newbie in the field of data analytics, choose fundamental courses like Google Data Analytics.
- If you have graduated from the Tech or Maths stream, then you can go for advanced certifications or an MSc in Data Science.
- The last and not the least option is for working professionals who are willing to switch; you can always opt for part-time or executive postgraduate programs in Analytics.
Check Data Analytics Course Content
To Become Data Analyst and pursue the best course, you must get through the course content and verify whether the offered courses cover certain topics like statistics, SQL, Python/R, visualization, and business analytics. A well-structured data analytics course curriculum should cover the entire analytics pipeline from data collection to insight communication. A strong curriculum balances technical and business understanding, helping you prepare for real-world job scenarios. Some of the major topics and subtopics have been discussed below.
Data Analytics Subject Details
- Statistics & Probability: Distributions, hypothesis testing, regression, and statistical modelling.
- SQL & Databases: The Ability to extract, manipulate, and manage data from databases is essential for any analyst. Hands-on SQL labs and real datasets are a must-have topic to build the analytical side.
- Programming (Python/R): Data cleaning, automation, libraries like Pandas, NumPy, Matplotlib, and basic scripting needed for analysis.
- Data Visualisation: Training in Power BI, Tableau, or Advanced Excel.
- Business Analytics: KPIs, business dashboards, domain-specific analysis, and storytelling provide you with assurance that you can translate data into decisions.
- Real-World Projects & Case Studies: Without practical exposure, theory holds unreasonable value. Therefore, you have to choose programs that contribute to capstone projects, internship options, or industry case studies.
Taking the example of B.Tech in Computer Science – Data Science & Business by Rishihood University and powered by edept, you get to hands-on case studies like:
- Understanding the application of Business analytics in the E-commerce industry
- How OTT platforms use Business Analytics
- Cab Booking Data Analysis
- Food Delivery App Analysis
- Sales Data Analysis
- Employee Engagement Optimization
- Personalising hotel booking experiences based on customer preferences and historical data analysis.
- Understanding reader preferences and market trends through book rating analysis on Goodreads.
- Optimising processes through hardware equipment sales analysis.
- OTT Data Analysis
- Inventory Management
- COVID Dashboard Creation
- Dashboard Creation for Netflix
- Marketing Campaign Analysis
- Olympic Data Analysis and Dashboard creation
- Manpower Need Prediction
- Building Optimisation Models for the Manufacturing Industry
- Employee Salary Prediction
- Marketing Strategies for Bank Data
- Spillage Prediction in Construction
- Customer Sales Analysis
- Loan Default Prediction
- Customer Segmentation on Hospitality Data
- Flight Price Prediction
- Image Classification and Reduction
- Predicting Customer Lifetime Value of Supermarket
- Credit Card Spend Analysis
- Sentiment Analysis on Online Feedback Data
- Scraping Reviews from E-Commerce Website and Performing Text Analytics
- Fraud Transaction Prediction
- Building Supply Chain Dashboard
Consider Duration & Flexibility
Every data analyst learner has different time commitments, and the duration of the programs plays a major role in planning your career timeline. So, understanding the structure actually helps you to choose the right course that fits well with your lifestyle, goals and pace of learning.
- Short-term courses or certifications – The duration of these short-term courses is usually 3 to 6 months. These are perfect for beginners or working professionals who want to focus only on skill advancement, such as SQL, Excel, Python, and visualisation.
- Diploma in Data Analytics – It is a more comprehensive program compared to certifications, and it combines both technical training with industry case studies and portfolio building. The duration of professional diploma courses is usually 6 to 12 months. This is an ideal course for career switchers.
- Undergraduate and Postgraduate Courses – They offer deeper academic grounding, research opportunities and structured progression. It is best suited for candidates who are aiming for long-term, in-depth specialisation with global roles.
Choosing a program that matches and aligns with your pace confirms a better learning outcome and long-term career commitment.
Accreditation and Industry Relevance
Choose data analytics courses that are recognised by leading universities or tech companies. Through edept, this process becomes easier as the career explorer, which is entirely built for global course purposes, learning modes and outcomes that are entirely based on your individual career aspirations.
How edept Helps You Choose the Right Data Analytics Course?
At edept, we cooperate and understand that planning to choose a data analytics career can sometimes be overwhelming, as there are so many options available in the global market. That’s why we have created the Career Explorer Platform for all the aspiring candidates that will help simplify the entire process. Here is how edept helps all the aspiring data analysts:
- Discover Global Programs: You can compare universities, certifications, and professional routes in analytics.
- Understanding Skill Prerequisites: Learn which courses align with your background and goals.
- Access international data: Get a chance to learn about the salaries, job availability, and lifestyle comparisons for data roles abroad.
- Get Expert Guidance: Receive personalised insights to support you in building a strategic education plan.
edept acts as your career advisor by helping you build confidence and make well-informed decisions about your career’s future in data analytics.
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How to Evaluate and Choose the Right Data Analytics Course?
edept simplifies the entire decision of which and how to choose the correct data analytics course through its career explorer tool. Instead of scrolling through countless course websites. Here are some of the specialities of Career Explorer Offered By edept:
- Compare global data analytics programs side-by-side.
- Evaluate curriculum depth, skill outcomes, duration, and cost.
- Identify industry-aligned certifications based on your background.
- Explore international options with visa and job insights.
- Choose the right learning mode, i.e. it can be online, hybrid, or on-campus.
Through this, your course selection becomes 100% faster, smarter, and most importantly, aligned with global career opportunities.
FAQs
- What Degree Do I Need to Become Data Analyst?
The qualifications required for the data analytics course are a basic understanding of mathematics and logical reasoning. Many programs accept students from all backgrounds who have an idea about Excel or basic coding knowledge. However, to start your career through an undergraduate data analytics course, such as BTech, you are required to complete your 12th class from a recognised board with PCM. On the other hand, for courses like BSc, you can join from any stream with a requirement of 40-45% marks, depending on the category.
- How do I choose the right data analytics course for my career goals?
To choose the right data analytics course, you have to compare the course curriculum in depth, check the tools taught, such as Python, SQL, Tableau, and Excel, accreditation, placement support, and learning formats. Secondly, identify whether you want to pursue a job-ready course, upskilling or a specialisation-oriented course. Platforms such as edept, assist you by simplifying the process by comparing global programs, career path progressions and outcomes based on your career goals.
- Do data analytics courses guarantee jobs?
Well, no program can guarantee you a job, but industry-aligned programs with strong placement assistance, such as edept can significantly improve your employability. You have to enrol in courses that offer capstone projects, mentorship, interview preparation and practical exposure.
- What skills will I gain after completing a data analytics program?
After the completion of the data analytics course, you will get to learn core skills such as Python/R programming, data cleaning, data visualisation, business analytics, SQL querying, and basic statistical modelling. Apart from these, some courses also teach soft skills like communication, dashboarding, and problem-solving.
- How long does it take to complete a data analytics course and start working as a data analyst?
Most students usually learn within 3 to 12 months to complete a data analysis course and start working as a professional data analyst. However, for professional courses like B.Tech, the duration is 4 years, and BSc is 3 years. Postgraduate students need to study the data analytics course for 2 years. With consistent practice and a strong portfolio, many learners secure entry-level data analyst roles soon after completing a structured program.
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