Data Analyst Course Online India provides a comprehensive program designed to equip you with the skills and knowledge needed to excel in the field of data analysis. Whether you’re a beginner looking to start your career in data or an experienced professional wanting to upgrade your skills, this course covers everything you need to become a proficient Data Analyst.
The training starts with the fundamentals of data analysis, including understanding data collection, data cleaning, and data processing. You will learn how to work with data from various sources, ensuring that it is structured and ready for analysis. The course emphasizes data visualization techniques, Data Analyst Course Online India, teaching you how to create meaningful insights using tools like Excel, Tableau, and Power BI, which are essential for presenting data in a clear and impactful way.
You’ll also dive into SQL, one of the most important languages for querying and managing databases. Through hands-on projects, you’ll learn how to extract, filter, and manipulate data to gain actionable insights. Additionally, the course covers basic concepts of statistics and probability, enabling you to interpret data trends and make data-driven decisions confidently.
As the course progresses, you’ll be introduced to Python and its libraries such as Pandas and NumPy, which are widely used for data analysis. You will also explore data reporting techniques, helping you create reports that communicate complex data findings to business stakeholders effectively.
Data Analyst Course Online India ensures that you gain practical experience through hands-on projects and real-world scenarios, allowing you to apply your skills effectively. By learning how to leverage various data tools and technologies, you will be prepared to tackle data challenges in any organization.
By the end of the training, you will be able to handle real-world data challenges, generate reports, and provide valuable insights that drive business decisions. This training prepares you for a successful career as a Data Analyst across various industries.
DATA ANALYSIS Course Contents
Duration: 38 to 40 Days
- Features of Python
- Python Virtual Machine (PVM)
- Frozen Binaries
- Memory Management in Python
- Garbage Collection in Python
- Writing Our First Python Program
- Executing a Python Program
- Getting Help in Python
- Reopening the Python Program in IDLE
- Comments in Python
- How Python Sees Variables
- Datatypes in Python
- Built-in datatypes
- Sequences in Python
- Determining the Datatype of a Variable
- User-defined Datatypes
- Constants in Python
- Identifiers and Reserved words
- Arithmetic Operators
- Using Python Interpreter as Calculator
- Assignment Operators
- Relational Operators
- Logical Operators
- Boolean Operators
- Membership Operators
- Identity Operators
- Operator Precedence and Associativity
- Output statements
- Various formats of The print()
- Input Statements
- Command Line Arguments
- If Statement
- If … else Statement
- If … elif … else Statement
- While Loop
- For Loop
- Else Suite
- Break Statement
- Continue Statement
- Pass Statement
- Return Statement
- Creating an Array
- Importing the Array Day
- Indexing and Slicing on Arrays
- Types of Arrays
- Working with Arrays using numpy
- Creating Arrays using linspace
- Creating Arrays using arange() Function
- Creating Arrays using zeros() and ones() Functions
- Mathematical Operations on Arrays
- Slicing and Indexing in numpy Arrays
- Dimensions of Arrays
- Attributes of an Array
- Reshape() Method
- Working with Multi-dimensional Arrays
- The array() Function
- The ones() and zeros() Functions
- Indexing in Multi-dimensional Arrays
- Slicing the Multi-dimensional Arrays
- Matrices in numpy
- Defining a Function
- Calling a Function
- Returning Results from a Function
- Returning Multiple Values from a Function
- Formal and Actual Arguments
- Positional Arguments
- Default Arguments
- Variable Length Arguments
- Local and Global Variables
- The Global Keyword
- Passing a Group of Elements to a Function
- Recursive Functions
- Lambdas
- Using Lambdas with filter() Function
- Using Lambdas with map() Function
- Function Decorators
- Structured Programming
- Problems in Procedure Oriented Approach
- Features of Object Oriented Programming System (OOPS)
- Classes and Objects
- Encapsulation
- Abstraction
- Inheritance
- Polymorphism
- Self Variable
- Constructor
- Types of Variables
- Namespaces
- Types of Methods
- Passing Members of One Class to Another Class
- Inner Classes
- Constructors in Inheritance
- Overriding Super Class Constructors and Methods
- Super() Method
- Types of Inheritance
- Duck Typing Philosophy of Python
- Operator Overloading
- Method Overloading
- Method Overriding
- Abstract Method and Abstract Class
- Interfaces in Python
- Abstract Classes vs. Interfaces
- Errors in a Python Program
- Exceptions
- Exception Handling
- Types of Exceptions
- The Except Block
- User-Defined Exceptions
- Types of Files in Python
- Working with Text Files Containing Strings
- Knowing Whether a File Exists or Not
- Working with Binary Files
- Pickle in Python
- Seek() and tell() Methods
- Random Accessing of Binary Files
- Advantages of a DBMS over Files
- Working with MySQL Database
- Operations on rows of a Table
- Creating Database Tables through Python
- Working with Oracle Database in Python
- Stored Procedures
- Data Science Basics
- Creating Data Frame from an Excel Spreadsheet
- Creating Data Frame from .csv Files
- Creating Data Frame from Python Dictionary
- Creating Data Frame from List of Tuples
- Operations on Data Frame
- Bar Graph
- Histogram
- Creating a Pie Chart
- Creating a Line Graph
- Introduction to Tableau
- Different types of Tableau Products
- Installing Tableau Software
- Connecting to Different Data Sources
- First Visualization
- Creating Tables
- Creating Bar Graph
- Creating Pie Charts
- Creating Histogram
- Creating Line Charts
- Using the Show Me Toolbar
- Creating Stacked Bar Graphs
- Creating Scatter Plots
- Swapping Rows and Columns
- Using Dates
- Using Predefined Functions
- Appling the If-Then logic
- Showing Totals
- Showing Percentage of Totals
- Creating Calculated Fields
- Creating Parameters
- Parameters with Filters
- String Functions
- Numeric Functions
- Logical Functions
- Rank Functions
- Conditional Formatting
- Data Blending
- Data Blending Calculations
- World Maps
- Conditional Charts
- Scenarios and Project
- Introduction to SQL Server
- Database Creation
- Different type of Files in Database
- File group Basics
- Introduction to T-SQL
- Creating Tables
- Inserting Data
- Updating Data
- Deleting Data
- Introduction to Constraints
- NOT NULL Constraint
- Primary Key Constraint
- Foreign Key Constraint
- Default Constraint
- Check Constraint
- Creating View
- Difference between Table and View
- Advantages of View
- Issues with Views
- Stored Procedure
- Different types of Functions
- Scaler Value Functions
- Table Value Functions
- Joins
- Inner Joins
- Outer Joins
- Introduction to Triggers
- GROUP BY, HAVINF CLAUSE
- SUB-QUERIES
- Row Level Security
- Partitions
- Set Operators
- Exception Handling
- Graph Database
Data Analyst Course Online India provides a comprehensive program designed to equip you with the skills and knowledge needed to excel in the field of data analysis. Whether you’re a beginner looking to start your career in data or an experienced professional wanting to upgrade your skills, this course covers everything you need to become a proficient Data Analyst.
The training starts with the fundamentals of data analysis, including understanding data collection, data cleaning, and data processing. You will learn how to work with data from various sources, ensuring that it is structured and ready for analysis. The course emphasizes data visualization techniques, teaching you how to create meaningful insights using tools like Excel, Tableau, and Power BI, which are essential for presenting data in a clear and impactful way.
Data Analyst Course Online India: You’ll also dive into SQL, one of the most important languages for querying and managing databases. Through hands-on projects, you’ll learn how to extract, filter, and manipulate data to gain actionable insights. Additionally, the course covers basic concepts of statistics and probability, enabling you to interpret data trends and make data-driven decisions confidently.
Data Analyst Course Online India: As the course progresses, you’ll be introduced to Python and its libraries such as Pandas and NumPy, which are widely used for data analysis. You will also explore data reporting techniques, helping you create reports that communicate complex data findings to business stakeholders effectively.
The Data Analyst Course Online India ensures that you gain practical experience through hands-on projects and real-world scenarios, allowing you to apply your skills effectively. By learning how to leverage various data tools and technologies, you will be prepared to tackle data challenges in any organization.
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Frequently Asked Questions FAQs
Q1. What is covered in the Data Analyst Course Online India?
The course covers a comprehensive range of topics including data collection, data cleaning, data processing, data visualization techniques using tools like Excel, Tableau, and Power BI, as well as SQL for database management, statistics, and Python libraries such as Pandas and NumPy.
Q2. Who is this course suitable for?
The Data Analyst Course Online India is suitable for both beginners looking to start a career in data analysis and experienced professionals who wish to upgrade their skills in the field.
Q3. What practical skills will I gain from this course?
You will gain practical skills such as data extraction, filtering, and manipulation, as well as the ability to create meaningful data visualizations, generate reports, and provide actionable insights that support business decisions, Data Analyst Course Online India!
Q4. Is there hands-on experience involved in the training?
Yes, the course emphasizes hands-on projects and real-world scenarios, ensuring that you gain practical experience that can be directly applied to your future job roles.
Q5. What tools and technologies will I learn to use?
You will learn to use various tools and technologies, including Excel, Tableau, Power BI, SQL, and Python with libraries such as Pandas and NumPy.
Q6. How does this course prepare me for a career as a Data Analyst?
By the end of the Data Analyst Course Online India, you will be equipped with the essential skills, practical experience, and knowledge to handle real-world data challenges and effectively communicate complex data findings to stakeholders.
Q7. Are there flexible learning options available?
Yes, the course is designed to be flexible, making it suitable for both full-time professionals and students. You can learn at your own pace while still benefiting from expert instructors and engaging content
