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

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.

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.

C Programming 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

Program
Programming
Programming Languages
Types of Software
Introduction to C
History of C
Features of C
Applications of C
Character Set, ASCII Table
Tokens
Keywords
Identifiers & Naming Rules
Constants
Data Types
Type Qualifiers
How Data is Stored in Computer Memory
Variables
Variable Declaration
Variable Assignment
Variable Initialization
Comments
Defining Constants

Input-Output Functions

Input-Output Library Functions
Non-Formatted Input and Output
Character-Oriented Library Functions
Compiler, Linker, and Loader
Program Execution Phases
Formatted Library Functions
Mathematical Library Functions
Structure of a C Program
IDE
Basic Programs

Arrays

Arrays
One-Dimensional Arrays
Declaration of 1D Arrays
Initialization of 1D Arrays
Accessing Elements of 1D Arrays
 Reading and Displaying Elements
 Programs on 1D Arrays
 Two-Dimensional Arrays
 Declaration of 2D Arrays
 Initialization of 2D Arrays
 Accessing Elements of 2D Arrays
 Reading and Displaying Elements
 Programs on 2D Arrays
 Three-Dimensional Arrays

Pointers

Understanding Memory Addresses
Pointer Operators
Pointer
Pointer Advantages and Disadvantages
Declaration of Pointer Variables
Initialization of Pointer Variables
 Dereferencing / Redirecting Pointer Variables
Declaration versus Redirection
Void Pointer
Null Pointer
Compatibility
Array of Pointers
Pointer to Pointer
Pointer Arithmetic
Dynamic Memory Allocation Functions

Storage Classes

Object Attributes
Scope
Extent
Linkage
auto
static
extern
register

Structures, Unions, Enumerations and Typedef

Structures
Structure Type Declaration
Structure Variable Declaration
Initialization of Structure
Accessing the Members of a Structure
Programs Using Structures
Operations on Structures (Copying and Comparing Structures)
Nested Structures (Complex Structures)
Structures Containing Arrays (Complex Structures)
Array of Structures (Complex Structures)
Pointer to Structure
Accessing Structure Member through Pointer Using Dynamic Memory Allocation
Pointers within Structures
Self-Referential Structures
Passing Structures to Functions
Functions Returning Structures
Unions
Differences between Structures & Unions
Enumerated Types / enum Keyword
The Type Definition / typedef Keyword
Bit Fields

Operators and Expressions

Arithmetic Operators
Arithmetic Expressions
Evaluation of Expressions
Relational Operators
Logical Operators
Assignment Operators
Increment & Decrement Operators
Conditional Operator
Bitwise Operators
Type Casting
Sizeof Operator
Comma Operator
Operators Precedence and Associativity
Expressions
Evaluation of Expressions

Control Statements

Conditional Control Statements
 if
 if-else
 Nested if-else
if-else-if Ladder
Multiple Branching Control Structure
 switch-case
 Loop Control Statements
 while
 do-while
for
 Nested Loops
 Jump Control Structures
 break
 continue
 goto
 return
 Programs

Strings

String Concept
 Introduction to Strings in C
 Storing Strings
 The String Delimiter
 String Literals (String Constants)
 Strings and Characters
 Declaring Strings
 Initializing Strings
Strings and the Assignment Operator
String Input Functions / Reading Strings
String Output Functions / Writing Strings
 String Input-Output using fscanf() and fprintf() Functions
 Single Character Library Functions / Character Manipulation in Strings
 String Manipulation Library Functions
Programs Using Character Arrays
 Array of Strings (2D Character Arrays)
 Programs Using Array of Strings

Functions

Functions
 Advantages of Using Functions
 Defining a Function
Calling a Function
 Return Statement
Function Prototype
 Basic Function Designs
 Programs Using Functions
 Scope
 Recursion
 Iteration vs Recursion
 Nested Functions
 Variable Length Number of Arguments
 Parameter Passing Techniques – Call by Value & Call by Address
 Functions Returning Pointers
 Pointers and One-Dimensional Arrays
 Pointers and Two-Dimensional Arrays
 Passing 1D Arrays to Functions
 Passing 2D Arrays to Functions
 Pointers and Strings
 Passing Strings to Functions
 Pointer to Function

Preprocessor Directives

The #include Preprocessor Directive & User Defined Header Files
The #define Preprocessor Directive: Symbolic Constants
The #define Preprocessor Directive: Macros
Conditional Compilation Directives
#if
 #else
 #elif
#endif
#ifdef
 #ifndef
#undef
 #error
 #line
#pragma

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.

1. Exploration

Industrial Standard Course Structure

Job Oriented Programs

Domain Expertise Trainers

Recording Sessions

24/7 Portal Access

1 to 1 Mentorship

2. Understanding

Doubt Sessions

Daily Assignments

Weekly Test

Project Explanations

Project Implementation

Course Completion Certifications

3. Achievement

Resume Preparations

Interview Preparation

Mock Interviews

Internships Oppurtunity

Resume Marketing

100% Job Assistance

Tools and Technologies

• Excel, Advanced Excel
• Python, Pandas, NumPy
• SQL
• Tableau, Power BI

Job Roles

• Data Analyst
• Business Analyst
• Marketing Analyst

• Financial Analyst
• Operations Analyst
• Data Scientist

By completing the Data Analytics course at LearnAi, you’ll gain the skills necessary to transform raw data into actionable insights, helping businesses make data-driven decisions that fuel growth and innovation. Take the first step toward becoming a data analytics expert today!

FAQs

What is C programming?

 C is a high-level programming language known for its efficiency and control over hardware, widely used in system and application software development.

What are the main features of C programming?

C is praised for its simplicity, portability, efficiency, and capability for direct memory manipulation.

What are pointers in C, and why are they important?

Pointers are variables that store memory addresses, essential for dynamic memory management and efficient data handling.

How does C differ from C++?

C is a procedural language focused on functions, while C++ extends C with object-oriented features like classes and inheritance for more complex programming.

What makes LearnAI courses exceptional?

Our courses feature cutting-edge curricula, expert instructors, and hands-on projects that provide practical experience and real-world applicability.

How qualified are LearnAI instructors?

Our instructors are experienced professionals with extensive industry backgrounds, offering valuable insights and skills.

What kind of support do students receive?

Students benefit from personalized mentorship, detailed feedback, and extensive support throughout their learning process.

How does LearnAI support career growth?

 We offer career services including resume building, interview coaching, and job placement assistance to help you advance in your career.li>

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