Data Analytics Course at LearnAi

Unlock the Power of Data to Drive Business Insights

Why Enroll in the LearnAI Data Analytics Course?

In today’s fast-paced business environment, data is one of the most valuable assets. Data Analytics is the process of examining large datasets to uncover hidden patterns, correlations, and insights, enabling businesses to make informed decisions. At LearnAi, located in Dilsukhnagar, Hyderabad, we offer an in-depth Data Analytics course designed to equip you with the skills necessary to analyze and interpret data effectively.

Our course focuses on providing hands-on experience with essential data analytics tools and techniques, including statistical analysis, data visualization, and predictive modeling. Whether you're a beginner, a student, or a professional looking to transition into the field, this course will give you the expertise to harness the power of data and contribute to business growth and innovation.

Duration 30 Days

Data Analytics Course Online & Offline Classes

Mode of Training: Hybrid
Inclass & Online

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Who Should Enroll in the Data Analytics Course?

This course is perfect for individuals looking to enter the field of data analytics or enhance their existing skills:

Beginners

Those new to the world of data and analytics, looking to develop foundational skills in data analysis.

Data Analytics Course for Academic Student

Students

College and university students in technical or business-related fields who want to build expertise in data analytics.

Professionals

Working professionals in industries such as marketing, finance, and operations who want to upgrade their skills and contribute to data-driven decision-making.

Data Analytics Course for Technology enthusiasts

Business Enthusiasts

Entrepreneurs or business owners interested in using data analytics to improve business processes and profitability.

Data Analytics Course Curriculum

The Data Analytics Course follows a comprehensive and systematic curriculum. It includes the following core modules:

Fundamentals in C

Input-Output Functions

Arrays

Pointers

Storage Classes

Structures, Unions, Enumerations and Typedef

Operators and Expressions

Control Statements

Strings

Functions

Preprocessor Directives

Course Overview

The LearnAi Data Analytics Course is designed to provide a comprehensive understanding of data analysis processes, tools, and techniques. From cleaning and preparing data to performing statistical analysis and generating reports, our course covers all key aspects of the data analytics workflow. You’ll also learn how to visualize data to communicate insights effectively, enabling businesses to make strategic decisions based on data-driven evidence.

With practical exercises, real-world case studies, and projects, the course ensures that you can apply your learning in a variety of business contexts. You’ll gain proficiency in tools like Excel, SQL, Python, and data visualization platforms like Tableau and Power BI.

Skills You Will Gain

Upon completing the Data Analytics Course, you will develop a range of highly sought-after skills in the data analytics field:

Data Cleaning and Preparation

Learn how to clean and transform raw data into usable formats, ensuring accuracy and consistency for analysis.

Statistical Analysis

Gain expertise in performing statistical analysis using tools like Excel and Python to interpret data and draw conclusions.

Data Visualization

Create interactive and insightful visualizations with tools like Tableau and Power BI to make complex data easily understandable.

Predictive Analytics

Learn to build models that predict future trends and outcomes, helping businesses plan ahead.

SQL for Data Management

Master SQL to query and manage databases, extracting relevant data for analysis.

Reporting and Presentation

Develop the skills to effectively communicate your findings with stakeholders through reports and presentations.

Learn Data Analytics Course from beginners to advanced in Three Phases

Our course follows a phased learning approach, starting with the basics of data manipulation and gradually progressing to more advanced techniques such as statistical modeling and predictive analytics. This ensures that you build a strong foundation before tackling complex topics.