Data Analysis
At Monvi Tech, we provide a comprehensive and hands-on approach to mastering Data Analysis, ensuring you’re equipped with the skills needed to excel in the tech industry.
By enrolling in our Data Analysis course, you’ll gain practical experience, industry-relevant knowledge, and the confidence to build complete web applications from scratch.
Duration
30 Days
Mode of Training
Inclass & Online
Projects
3
Assessments
Topic Wise
WHY Data Analysis?
Data is the new oil, and the ability to analyze it is a key skill in virtually every industry. Whether it’s driving business decisions, optimizing processes, or predicting trends, data analysis is at the heart of innovation. From finance to healthcare to tech, data analysis offers unmatched opportunities to understand patterns, optimize strategies, and solve real-world problems.
- Turn Data Into Actionable Insights
- Boost Efficiency Across Industries
- Drive Business Growth
- Expand Your Career Horizons
COURSE OVERVIEW
Embark on a transformative journey into the world of data analysis. This course blends theoretical knowledge with practical applications, providing you with the tools and skills to tackle real-world data challenges confidently. From statistical methods to advanced data visualization techniques, you’ll acquire the knowledge necessary to make informed decisions.
Interactive Labs
Work on real-world datasets with guided labs to build your confidence in applying data analysis techniques.
Real-World Applications
Analyze data from various industries and scenarios, gaining insights that reflect current market needs and trends.
Expert Instructors
Learn from industry professionals with years of experience in data science, analytics, and business intelligence.
Comprehensive Resources
Access exclusive datasets, study materials, templates, and analytics tools to enhance your learning.
KEY HIGHLIGHTS
Dive deep into the world of data analytics with a course designed to meet the demands of both beginners and experienced professionals. This program balances the perfect mix of theoretical understanding and practical application. Under the guidance of industry experts, you’ll progress from basic data manipulation to advanced analytical strategies.
- Comprehensive Curriculum: Cover everything from foundational statistics and data cleaning to advanced predictive modeling and machine learning applications.
- Hands-On Projects: Apply your knowledge to real-world data sets and projects, strengthening your analytical skills.
- Expert Guidance: Learn from professionals who bring real-world data analysis experience to help you develop a sharp, analytical mindset.
- Flexible Learning: Access materials and participate in sessions at your own pace, allowing you to learn when it suits you best.
- Certification: Receive an industry-recognized certification that boosts your profile and showcases your analytical expertise.
Who Can Pursue Data Analysis?
Absolute Beginners
Perfect for those new to data analysis, providing a solid foundation in data manipulation and interpretation.
Students
Ideal for students in fields like computer science, economics, and statistics who want to strengthen their data handling and analysis skills.
Industry Professionals
Essential for professionals in IT, finance, marketing, and operations who want to boost their decision-making capabilities through data-driven insights.
Tech Enthusiasts
For hobbyists who want to learn how to analyze and interpret data in fields they’re passionate about.
Career Switchers
An excellent pathway for those transitioning into the tech or data sectors, providing critical data handling and analytics knowledge.
SKILLS COVERED
TOOLS AND TECHNOLOGIES
JOB ROLES
Data Analyst
Transform raw data into meaningful insights to inform business decisions and optimize operations.
Business Intelligence Analyst
Use data to drive business strategies, identify trends, and optimize performance through informed recommendations.
Data Scientist
Use advanced statistical methods and machine learning techniques to discover patterns and predict future trends.
Operations Analyst
Improve business efficiency by analyzing operational data and finding ways to optimize processes.
Market Research Analyst
Analyze consumer data and market trends to help businesses make informed marketing and product development decisions.
Financial Analyst
Evaluate financial data to create forecasts, investment strategies, and risk assessments for organizations.
Product Analyst
Analyze product data to identify user behavior, market trends, and areas for product improvement and development.
Data Engineer
Design and maintain data pipelines, ensuring that data is available and clean for analytical or operational purposes.
COURSE CURRICULUM
- 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 does the data stored in Computers Memory
- Variables
- Variable Declaration
- Variable Assignment
- Variable Initialization
- Comments
Defining Constants
- 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
- 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
- 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
- Arrays
- One dimensional arrays
- Declaration of 1D arrays
- Initialization of 1D arrays
- Accessing element of 1D arrays
- Reading and displaying elements
- Programs on 1D Arrays
- Two dimensional arrays
- Declaration of 2D arrays
- Initialization of 2D arrays
- Accessing element of 2D arrays
- Reading and displaying elements
- Programs on 2D Arrays
- Three dimensional arrays
- String Concept
- Introduction to String 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 the String
- String Manipulation Library Functions
- Programs Using Character Arrays
- Array of Strings (2D Character Arrays)
- Programs Using Array of Strings
- 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
- 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
- Object Attributes
- Scope
- Extent
- Linkage
- auto
- static
- extern
- register
- 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
- 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
WHY MONVITECH ?
Monvitech stands out as your go-to choice for mastering Data Analysis:
Up-to-Date Curriculum
Benefit from the latest course materials designed to reflect current industry trends and tools.
Industry Experts
Learn from professionals who’ve applied data analysis in various industries and bring real-world insights to the classroom.
Practical Experience
Develop hands-on skills through real-world datasets and projects that mirror the challenges faced by data analysts today.
Personalized Support
Receive tailored guidance, feedback, and mentorship to ensure you succeed in every step of your learning journey.
HOW WE DIFFER FROM OTHER ?
Cutting-Edge Curriculum
Dive into a curriculum that evolves with industry trends, preparing you for today’s challenges.
Elite Trainers
Learn from industry leaders who bring real-world expertise and practical insights to every lesson.
Engaged Learning
Experience immersive, hands-on coding exercises and projects that mirror real-world scenarios.
Tailored Support
Receive personalized guidance and continuous feedback to ensure your success and growth.
Advanced Teaching Techniques
Benefit from innovative methods and tools designed to enhance your learning experience.
Career Enhancement
Access dedicated career services, including job placement support and professional development resources.
Get In Touch With Us
Removed demands expense account in outward tedious do. Particular way thoroughly.
Office Phone Number
+91-(939) 002-3585
Company Ofice Address
Metro Pillar: 1545, Sirisha Mess Entrance, Dilsukhnagar, Hyderabad, Telangana
Office Email Address
info@monvitech.in
Write Us
FAQ
Frequency Asked Question
C is a powerful, high-level language widely used for developing system and application software, valued for its efficiency and precise control over hardware.
C is known for its simplicity, portability, efficiency, and the ability to directly manipulate memory.
Pointers are variables that hold memory addresses, crucial for dynamic memory management and efficient data processing.
C is a procedural language emphasizing functions, while C++ builds on C with object-oriented features like classes and inheritance for more sophisticated programming.
Our courses offer a cutting-edge curriculum, taught by industry experts, and feature hands-on projects that provide practical, real-world experience.
Our instructors are seasoned professionals with extensive industry experience, delivering insights and practical skills relevant to the field.
Students benefit from personalized mentorship, detailed feedback, and comprehensive support throughout their learning journey.
We provide dedicated career services, including resume building, interview coaching, and job placement assistance to help you advance in your career.
