In today’s data-driven world, Data Science has emerged as a transformative force across industries, enabling organizations to make informed decisions, optimize processes, and predict trends. At LearnAi, located in Dilsukhnagar, Hyderabad, our comprehensive Data Science course is designed to equip you with the skills to analyze, interpret, and visualize data effectively, transforming it into actionable insights.
This course combines rigorous theoretical training with hands-on projects, covering essential topics such as data analysis, machine learning, statistical modeling, and data visualization. Whether you're an aspiring data scientist, a professional looking to upskill, or a student seeking a competitive edge, our Data Science course offers an industry-relevant curriculum to help you excel.
This course caters to a diverse audience eager to harness the power of data for career advancement:
Beginners
Individuals new to data science looking to build a strong foundation.
Students
College and university students pursuing technical or analytical degrees who want to specialize in data science.
Professionals
IT professionals, business analysts, and engineers looking to transition into data science roles.
Entrepreneurs and Enthusiasts
Business owners and data enthusiasts interested in leveraging data for strategic decision-making.
Data Science Course Curriculum
The Data Science 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 Science Course takes you through the entire data science lifecycle, starting from data collection and cleaning to advanced predictive modeling. You’ll master tools and techniques for statistical analysis, exploratory data analysis (EDA), and machine learning.
With a focus on practical learning, the course integrates hands-on exercises and real-world projects to enhance your problem-solving skills. You'll learn to work with diverse datasets, build predictive models, and create compelling data visualizations that communicate insights effectively.
Skills You Will Gain
Upon completing the Data Science Course, you will develop a robust skill set to thrive in data-centric roles:
Data Analysis and Visualization
Learn to analyze complex datasets and create insightful visualizations using tools like Matplotlib and Seaborn.
Machine Learning Mastery
Build predictive models using regression, classification, and clustering techniques.
Statistical and Mathematical Foundations
Develop expertise in probability, hypothesis testing, and statistical inference.
Data Wrangling and Preprocessing
Master techniques for cleaning, transforming, and preparing data for analysis.
Big Data Tools
Gain exposure to tools like Hadoop and Spark for handling large datasets.
Storytelling with Data
Learn to present data-driven insights effectively to influence decisions.
Learn Data Science Course from beginners to advanced in Three Phases
Our course is structured into progressive phases, starting with foundational skills and advancing to specialized topics like machine learning and big data analytics. Each phase includes lectures, hands-on coding, and project-based assessments.
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
• Python (Pandas, NumPy, Scikit-learn) • R Programming • Tableau and Power BI • SQL • Jupyter Notebooks • Hadoop and Spark
Job Roles
• Data Scientist • Data Analyst • Business Intelligence Analyst • Machine Learning Engineer
• Big Data Engineer • AI Consultant • Statistician
Join the Data Science Course at LearnAi and transform your passion for data into a rewarding career. Start your journey with us today and become a leader in the evolving world of data science!
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>
We Provide Higher Quality Services
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For upcoming Data Science Course in Dilsukhnagar call @ + 91 939 002 3585
Best Artificial Intelligence Training in Hyderabad with 100% placement Assistance. Learn Data Science with Python, Data Analysis, Artificial Intelligence, Machine Learning, Deep Learning, NLP, Statistics and Tableau.
