Data analyst roles are in increasing demand as companies seek analysts to improve business performance. An analyst’s role is to focus on data collection, analysis, and interpretation. 

An analyst converts this data into insights, patterns and trends to help businesses make data-driven decisions. 

With this growing demand, learners and professionals are choosing to pursue or advance their careers as data analysts. A short certification course is the ideal choice to enhance your data analysis skills. But most learners are not aware of the data analytics syllabus.

In this article, we will help you answer the question: What do you learn in a data analytics certification, and what are the key skills to excel in your career? Let’s have a look at the data analytics curriculum topics.

Data Analytics Course Syllabus 2026

The Digital Regenesys AI-powered Data Analytics certification is specifically designed for professionals working in AI and data-driven environments. The certification helps professionals build strong analytical fundamentals. Learners will be able to apply these analytical skills to solve real-world business problems. 

Our AI-powered Data Analytics course is classified into two modules. The first module focuses on building core analytics and visualisation skills using AI. The second module helps you with advanced analytics techniques for using data in business.

Let’s explore these two modules and the topics they cover.

1. AI-Enhanced Business Analytics: Fundamentals and Visualisation

The first module focuses on building strong analytical foundations in AI analytics and data communication. You will learn about how data analytics works in business and how AI enhances analytical thinking. It also includes pattern identification and insight generation. 

The course emphasises data understanding, identifying trends, and communicating insights using visual and storytelling techniques. You will also gain exposure to industry tools supporting AI-integrated analytics. 

Here’s what you will learn in our AI-powered Data Analytics course:

1. Foundation of AI-Powered Analytics

This topic covers the core concepts of business analytics. You will learn how AI supports data analysis, insight generation, and decision-making in modern businesses.

2. Trends and Patterns Powered by AI

This segment explains how AI tools help identify trends, correlations, and patterns in massive datasets for business analysis. 

3. Prompt Engineering for Analytics

Here you will learn how to craft clear and compelling prompts to extract valuable insights from AI-powered analytics tools.

4. Storytelling with Data using AI-Integrated Tools

You will learn how to present data insights using clear narratives, visuals, and dashboards to support business decision-making.

5. Tableau

Get exposure to Tableau to create interactive dashboards and visual reports to support business analysis. 

Here’s another interesting read for you: Top 10 Data Analytics Trends Shaping Business Decisions. 

2. Transforming Data into Business Value: Advanced Analytics with AI

The second module of our certification builds core knowledge and focuses on advanced techniques for translating insights into actions. You will learn about predictive and prescriptive analytics, AI-powered decision-making, and the ideal use of AI in analytics.

You will also learn how to apply analytical methods to real business problems, using advanced tools to predict outcomes, suggest actions, and support strategy.

Let’s have a look at the data analytics curriculum topics covered in the second module:

1. Predictive Analysis and AI-enabled use case

This topic focuses on using historical data and AI-assisted models to forecast trends, demand, and business outcomes. 

2. Prescriptive Analysis and AI-enabled use cases

 Here you learn how to use analytics to recommend actions and optimise decision-making using predictive insights.

3. Power BI with AI

Develop Power BI skills to build dashboards, automate insights, and use AI features for reporting and analysis. 

4. AI Ethics in Analytics

Understand the ethical issues involved in using AI for data analysis. It also includes data privacy, bias, and responsible decision-making for businesses. 

5. Introduction to AI

Understand AI concepts practically and how artificial intelligence supports analytics across industries.

Read more about this: How To Get Your First Job As A Data Analyst?

Core Tools Covered in Data Analytics Certification

AI tools are a crucial aspect of AI-powered Data Analytics. The AI Data Analytics certification by Digital Regenesys focuses on industry-relevant tools used in modern analytics roles. These tools help learners apply analytics, AI, and data visualisation skills to real-world business scenarios. 

From aspiring analysts to business leaders, these tools are crucial to every professional. These tools will prepare your job-ready skills and help you in analytical roles across industries. 

Let’s have a look at the tools covered in our AI-powered analytics course:

1. ChatGPT

Used for insight generation, analysing trends, creating summaries, and supporting prompt-based workflows.

2. Power BI

Used in building interactive dashboards, automating business reports, and tracking performance.

3. Tableau 

Used to create visually rich dashboards to help stakeholders understand trends, patterns, and performance metrics. 

4. Jupyter Notebook

Used for data analysis, running workflows, and documenting insights in a structured format.

5. Google Colab

Used for cloud-based analytics, collaborations, and running data analysis projects without any interruptions. 

6. Kaggle

Used to practice analytics on real-world datasets, build problem-solving skills and participate in data challenges.

7. Government Open Data

Used for analysing public data for policy insights, economic trends, and social impact analysis. 

8. Business Datasets

Used for real organisational scenario simulation, including sales analysis, customer behaviour tracking, and operational performance review.

Learn more about such essential tools: Data Analyst Tools Guide | SQL, Excel, Tableau & More. 

What will You Learn in the Data Analytics Certification?

The data analytics syllabus includes all the essential skills to help you apply the theory to real-world situations. You will be able to manage diverse tasks, including sales-forecasting dashboards, customer-behaviour analytics, and operational-efficiency models. 

The AI-powered data analytics certification by Digital Regenesys provides a practical, tool-focused approach. It will help you use data and AI to make better business decisions. We assist professionals in growing into roles that directly support business performance, strategy, and measurable ROI. 

Let’s understand the skills that you will gain through our AI-powered certification course:

• Visualisation with AI
• AI-powered Analytics
• Prompt Engineering for Analytics
• AI-enabled Predictive Analysis
• AI-enabled Prescriptive Analysis
• Power BI AI Features 

Enrol in the Data and Business Analytics Course Online to enhance your job-ready skills and career advancement. 

Conclusion

The data analytics course syllabus 2026 balances theory, tools, AI integration, and real-world applications. Every topic, from business analytics fundamentals to AI-powered tools, is designed to develop practical, job-ready skills. 

The certification emphasises learning tools, the development of analytical thinking, and business problem-solving. These skills will be essential for your long-term growth. 

For more such valuable insights, visit our website, Digital Regenesys.