Data Analytics

May 2 / Sweta Khadgi

How to Enter Into Data Analytics: A Beginner’s Guide to Launching Your Career (2025 Edition)

Why Data Analytics Is a Smart Career Choice in 2025
In 2025, data information is driving decisions across all industries, from marketing and finance to healthcare and e-commerce. That’s why data analytics has become one of the most in-demand career paths for anyone who wants to enter tech without requiring a programming background. Whether you're just starting out or changing careers, this guide will show you how to get started in data analytics step-by-step and will provide you with useful tools, certifications, and advice to help you succeed.

Step 1: Learn What Data Analytics Really Is

The process of gathering, processing, and evaluating data in order to make well-informed business decisions is known as data analytics. It's important for beginners to understand the four categories of data analytics:
  • Descriptive Analytics: What happened
  • Diagnostic Analytics: Why did it happen
  • Predictive Analytics: What could happen next
  • Prescriptive Analytics: What should we do about it?

Step 2: Identify the Key Skills You Need

To succeed in data analytics, focus on learning a core set of technical and analytical skills. Here's what to learn as a beginner:
  • Microsoft Excel (pivot tables, lookups, formulas)
  • SQL (data extraction and querying)
  • Data Visualization (Power BI or Tableau)
  • Data manipulation and analysis (Python or R)
  • Basic Statistics (mean, median, correlation, regression)
  • Business Acumen (understand goals behind the numbers)
You don’t need to master them all at once—start with Excel and SQL, then gradually move into Python and data visualization.

Step 3: Get Experience Through Projects and Classes

The best and only way to learn Data Analytics is by practicing on real-world problems. Look for structured, beginner-oriented programs that focus on project-based learning. These can often involve a hands-on component, something as simple as building a dashboard, cleaning data, or working with datasets to solve business problems.

Professional Certificate Programs— Offers foundational training in Excel, SQL, data cleaning, visualization, and statistical thinking.
Platform-Based Modules – Interactive, self-paced lessons designed around tools like Power BI, Tableau, or Python for analytics.
Job-Ready Programs – These focus on preparing you for the workplace with real-world projects, portfolio development, and soft skills training.

Step 4: Create a Portfolio of Real Projects

A portfolio is a great way to demonstrate to potential employers what skills you have. You can create simple projects using public datasets, such as:
  • Identifying trends by analyzing sales data
  • Visualizing COVID-19 or population data
  • Building a dashboard to track customer churn
  • Writing SQL queries to answer business questions
Use GitHub or Notion to showcase your work. Include problem statements, your approach, and insights from the data.

Step 5: Get Certified (It Builds Credibility)

Certifications indicate to employers you're dedicated. Below are some of the most useful certifications for Data Analytics:

  • CompTIA Data+
  • Certified Analytics Professional (CAP)
  •  Cloudera Certified Associate (CCA) Data Analyst
  • EMC Data Science Associate (EMCDSA)

Step 6: Apply for Entry-Level Data Roles

Now that you've gained good foundational skills and a solid portfolio, you're ready to apply for entry-level positions such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, Operations Analyst and Marketing Data Analyst.

Use LinkedIn, job boards, and your network, and don’t wait to be “100% ready.” Many companies are hiring learners with solid fundamentals and a passion for data.

Heubert Can Get You Job-Ready for Your Career in Data Analytics

Heubert Academy's Data Analytics - Job-Ready Program is specifically designed to help beginners get their analytics career off the ground as quickly as possible in 2025. The program will give you the training you need to get job-ready and covers topics including:
  • Excel, SQL, Power BI &Python
  • Hands-on projects with real datasets
  • Portfolio creation & Career Coaching
We connect the dots between what you learn and how to get hired, providing you with the training needed for a position such as Data Analyst, BI Specialist or Business Analyst.

📅 Classes begin soon! Are you ready to turn data into opportunity?

 📞 If you have questions contact us for a free consultation

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