Master Modern Data Analytics
with AI Specialization

The Gradient Learnings Data Analytics Program is a career-focused Data Analytics Course designed to help learners build job-ready skills in Excel, SQL, Python, Power BI, Tableau, statistics, data visualization, and AI. The program combines structured learning with real-world projects, mentorship, and interview preparation.

This Data Analytics Course is designed for beginners, students, fresh graduates, working professionals, and career switchers who want to build a career in data analytics. You do not need to come from a specific academic or technical background.

Yes. The program starts with the fundamentals of data analytics and gradually moves to advanced concepts and practical applications. This makes it suitable for beginners who are starting their data analyst journey.

Yes. You can start learning data analytics without prior coding experience. The program introduces SQL and Python step by step while building your understanding of data analysis and business problem-solving.

You will learn Excel, SQL, Python, statistics, data cleaning, data visualization, dashboarding, Power BI, Tableau, AI-assisted analytics, and business analytics. The curriculum also includes practical projects and career preparation.

The program covers key data analytics tools including Excel, SQL, Python, Power BI, Tableau, Pandas, NumPy, Jupyter Notebook, GitHub, ChatGPT, Claude, Gemini, and Perplexity.

Yes. SQL for data analytics is a core part of the curriculum. You will learn SQL fundamentals as well as advanced concepts such as joins, CTEs, window functions, query optimization, and business case studies.

Yes. The program teaches Python for data analytics, including data manipulation, data cleaning, exploratory data analysis, and libraries such as Pandas and NumPy.

Yes. You will learn Excel for data analysis, including formulas, Pivot Tables, XLOOKUP, data cleaning, reporting, dashboards, and practical business analysis.

Yes. Power BI for data analytics is included in the program. You will learn how to create interactive dashboards, work with data models, visualize data, and communicate business insights.

Yes. Tableau is included as part of the data visualization and business intelligence curriculum. You will learn how to create charts, dashboards, filters, parameters, and interactive visualizations.

AI is integrated across the Data Analytics Program rather than being taught as a standalone module. You will learn how to use AI for SQL, Python, Excel, data analysis, reporting, visualization, automation, and productivity.

Yes. The program combines traditional data analytics skills with AI-powered workflows. You learn the fundamentals of analytics while using modern AI tools to assist with analysis, coding, reporting, automation, and business insights.

The program includes 4+ real-world data analytics projects along with an AI-powered capstone project. These projects allow you to apply the tools and concepts you learn to practical business problems.

Yes. The projects are designed to help you build a data analyst portfolio that demonstrates practical skills. You also receive guidance on documenting and presenting your projects.

Yes. The program focuses on practical business problems rather than only theoretical exercises. Projects cover areas such as sales analytics, customer segmentation, marketing analytics, and customer churn analysis.

Yes. The program includes an AI-powered data analytics capstone project where you can bring together multiple analytics skills and work through an end-to-end business problem.

Yes. Learners who successfully complete the program receive a certificate of completion from Gradient Learnings.

The program is taught and supported by experienced industry professionals and analytics mentors. The focus is on practical, industry-relevant skills that learners can apply to real data analyst jobs.

Yes. The program includes expert mentorship and 1:1 support to help learners with concepts, projects, doubts, and career preparation.

Yes. Data analyst mock interviews are included as part of the interview preparation track. They help learners practice technical, analytical, case-based, and HR interview questions.

The program includes Data Analyst interview preparation covering SQL, Python, analytics concepts, case-based questions, technical interviews, aptitude or assessment rounds, and HR interviews.

Yes. Learners receive Data Analyst resume guidance and reviews to help them highlight relevant skills, projects, tools, and experience for analytics roles.

Yes. The career support includes LinkedIn profile optimization and personal branding guidance to help learners build a stronger professional presence.

Yes. You will work on portfolio-ready projects and receive guidance on Data Analyst portfolio development, project documentation, presentation, GitHub, and visualization portfolios.

Yes. Eligible learners receive placement assistance, interview preparation, and support with relevant job opportunities as part of the career support provided by the program.

Eligible learners currently receive placement assistance and job referrals for up to 1 year after completing the program.

Yes. The program is designed to support career switchers into data analytics by combining technical skills, hands-on projects, portfolio development, mentorship, interview preparation, and placement assistance.

Depending on your skills and background, you can explore roles such as Data Analyst, Business Analyst, BI Analyst, Reporting Analyst, Product Analyst, Marketing Analyst, and other analytics-related positions.

Yes. The program helps freshers become more job-ready for Data Analyst roles through practical projects, portfolio development, technical skills, mock interviews, and career support. However, employment outcomes depend on individual skills, interview performance, and employer requirements.

Yes. Eligible learners can receive job referrals and placement assistance as part of the program's career support.

Career support includes placement assistance, job referrals, resume reviews, LinkedIn optimization, portfolio guidance, mock interviews, technical interview preparation, aptitude and assessment preparation, and HR interview preparation.

The current program fee, along with any ongoing discount, is shown in the pricing section on this page. Our program advisors can also walk you through the fee, what it covers, and the payment options available to you.

Yes. Flexible No-Cost EMI options are available so you can spread the program fee across monthly instalments instead of paying it upfront.

Complete the application form on this page, choose your payment option, and secure your seat for the upcoming cohort. Seats in each cohort are limited.

Yes. Our program advisors can help you understand the curriculum, career outcomes, cohort schedule, fees, and payment options before you enroll. Request a callback and we will get in touch.

A laptop and a stable internet connection are enough to get started. Every tool used in the program is introduced during the classes, and the ones in the curriculum are free or have free versions.

The program includes live online Data Analytics classes led by instructors and mentors. Recordings are also provided for revision and for learners who miss a live session.

Yes. You will receive access to class recordings so you can revise lessons, catch up on missed sessions, and revisit difficult concepts.

The program currently provides lifetime access to class recordings, allowing you to revisit the Data Analytics Course content even after completing the program.

Yes. The live sessions are interactive and include doubt-solving and mentor support, so learners can ask questions and clarify concepts during the course.

The program runs for approximately 19 weeks or 4.5 months. Learners should plan for around 8–10 hours per week, including live classes, assignments, and project work.

You can watch the recording of the missed session and continue with the program. The recordings also allow you to revise topics whenever required.

The Data Analytics Program is approximately 4.5 months long, or around 19 weeks, giving learners a structured path from fundamentals to practical analytics skills.

Gradient Learnings runs the program in scheduled cohorts. The upcoming Data Analytics Course batch start date can be checked on the latest program enrollment page.