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Data Analytics

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Data Analytics

About The Course

About Data Analytics Course

The Data Analytics training at Ashok IT is designed to help learners master the art of collecting, processing, and analyzing data to make business-driven decisions. This course provides complete knowledge of Excel, Power BI, SQL, and Python programming to handle data in different formats and extract meaningful insights. With real-time projects, dashboards, and case studies, this Data Analytics training prepares students for high-demand jobs in the analytics industry.

Data Analytics Course Description

Our Data Analytics course begins with Advanced Excel, covering formulas, functions, data cleaning, pivot tables, Power Query, Power Pivot, and dashboard creation. Next, learners explore Power BI for data visualization, modeling, and DAX functions to build dynamic reports.

The course also covers SQL Server, teaching how to store, query, and manage relational data with commands like DDL, DML, DQL, joins, subqueries, and normalization. Finally, learners gain strong foundations in Python programming, learning control flows, data structures, OOP concepts, libraries (NumPy, Pandas, Matplotlib), and mini projects for data handling and automation.

By the end of this Data Analytics training, learners will be confident in managing data pipelines, building reports, and delivering insights using industry-relevant tools.

Data Analytics Course Objectives

The objectives of the Data Analytics training are to:

  • Provide a strong foundation in data analysis and reporting.
  • Train learners in Excel functions, pivot tables, and dashboards.
  • Teach Power BI for data visualization and business intelligence.
  • Explain SQL Server commands for querying and managing databases.
  • Develop Python programming skills for data processing and automation.
  • Cover data cleaning, transformation, and modeling techniques.
  • Provide hands-on experience with real-time business datasets.
  • Prepare learners for industry-level Data Analytics roles.
What Will You Learn?

Pre-Requisites To Learn Data Analytics

The Data Analytics course can be taken by beginners and professionals. Recommended prerequisites include:

Basic knowledge of computers and MS Office.

Logical reasoning and interest in data handling.

No prior coding knowledge is required (Python will be taught from basics).

Data Analytics Course Learning Outcomes

After completing the Data Analytics training, learners will:

Master Excel functions, formulas, pivot tables, and Power Query.

Create interactive dashboards and visualizations in Power BI.

Understand and apply SQL queries, joins, and subqueries.

Work with Python programming for data manipulation and automation.

Apply data cleaning, transformation, and modeling techniques.

Analyze datasets to provide actionable insights for businesses.

Gain practical exposure through projects and case studies.

Become ready for Data Analytics roles across industries.

Who Can Learn Data Analytics Training?

The Data Analytics course is ideal for:

Fresh graduates who want to start a career in data analytics.

Business professionals looking to upskill with data insights.

IT professionals transitioning into analytics and reporting roles.

Students and job seekers preparing for careers in analytics.

Anyone interested in learning Data Analytics tools and techniques.

Career Opportunities after Data Analytics Training

Completing the Data Analytics training opens opportunities such as:

Data Analyst

Business Analyst

BI Developer

Reporting Analyst

Junior Data Scientist

With organizations relying heavily on data for decision-making, professionals with Data Analytics skills are in high demand across IT, finance, healthcare, retail, and e-commerce industries.

Course Curriculam

Meal Planning Basics

Setting Up Your Diet

Adjusting Your Diet For Weigh Loss & Muscle Gains

Common Dieting Trends Explained

Dieting Tips & Strategies

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36 Courses 21 Students
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  • A

    Anonymous

    3 years ago
    Great clarity in explanations and thoroughly enjoyed the course. I had been working out for quite a while, but a few little things we might miss out from a diet perspective are covered well in detail here. Especially loved how you structured the entire focus area of dieting into most important ones to lesser
  • A

    Anonymous

    7 years ago
    Great clarity in explanations and thoroughly enjoyed the course. I had been working out for quite a while, but a few little things we might miss out from a diet perspective are covered well in detail here. Especially loved how you structured the entire focus area of dieting into most important ones to lesser ones.
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