Data Analytics Certification Training In Ahmedabad

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Course
Duration

Advantages of Data Analytics

₹ 2,50,000+

Average Salary per Annum in India

$ 50,000

Average Salary per Annum in USA

15,00,000

Job Vacancies across the world

1,00,000

Data Science Experts in the world and the demand is increasing day by day

Why Choose Data Analytics Training Program in Ahmedabad?

Data analytics is all about turning vast and diverse sets of information into meaningful insights. By organizing, processing, and analyzing data, we can uncover patterns, trends, and opportunities that drive decisions from business growth to financial risk management. It draws on a mix of skills, including mathematical modeling, statistics, and data visualization, to make sense of the data we collect from various sources.For those in Ahmedabad, mastering these skills is within reach. Data Analytics Course in Ahmedabad provides the training needed to navigate this complex field. To meet the demands of data analytics, we need a programming language that's not only flexible and easy to use but also powerful enough to handle complex calculations. Python is perfect for the job—it’s gained popularity for its coding simplicity while excelling in general computing and more advanced scientific tasks.The opportunities are vast for IT professionals who become data analysts. With the growing importance of data in almost every industry, these professionals are in high demand and offer exciting and diverse career paths around the world. Data Analytics Course in Ahmedabad can be your stepping stone into this thriving field.

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Hiring Partners

We are globally connected with the top IT companies

We are connected with companies with different industries across the nation. Our dedicated placement cell is constantly striving to get more companies on-board

About Data Analytics Training In Ahmedabad

In today's IT landscape, data analytics is a vital skill, essential for various applications. From crafting business strategies and predicting weather patterns to guiding marketing efforts and managing financial risks, data analytics is at the heart of it all. It employs a multidisciplinary approach, integrating mathematical models, statistics, data visualization, and database tools, alongside business acumen and scientific reasoning.For those in Ahmedabad, mastering a coding language capable of handling the complexities of data analytics is crucial. Python is the ideal choice, with its extensive libraries and powerful capabilities, making data analysis more accessible. Data Analytics Training in Ahmedabad offers the perfect opportunity to develop these essential skills and advance your career in this rapidly growing field.

Data Analytics course overview

Tracks Regular track Full day (Fastrack )
Training Days 100 days 25 days

    All about Python
    •    Origin & History
    •    Scope, Popularity & future of Python
    •    Achievements of Python
    •    Mega Projects hosted in Python


    Python Installation and  Environment Setup
    •    Development Environment & Requirements
    •    IDE of Python:
    •    IDLE
    •    Jupyter Notebook
    •    VSCode
    •    PyCharm


    Writing first program in Python
    •    Development VSCode, & PyCharm as IDE
    •    Jupyter Notebook and it’s features:
    •    Fast & Simple Learning process


    Data Types & Data Structures
    •    Numbers & Strings
    •    List, Tuples & Dictionary
    •    Sets & Frozen Sets
    •    Type Casting


    Control Statements
    •    Flow Diagrams
    •    If - else
    •    Nested if else

    Looping in Python
    •    For & While Loops
    •    Break, Continue & Else with loops
    •    Nested Loops
    •    Pattern Printing

    Functions in Python
    •    Built-in Functions
    •    Defining Custom Functions
    •    Function Calling
    •    Scope Resolution global, local & non-local scope
    •    Modular Programming
    •    Code Reusability

    Advance Functions in Python 
    •    Lambda anonymous Functions
    •    Map & Filter Functions

    Decorators in Python
    •    Memorization using Decorators
    •    Writing extensible functions using Decorators


    OOPs (Object Oriented Programming)
    •    Classes & Objects
    •    Inheritance
    •    Polymorphism & Overriding
    •    Operator Overloading
    •    Encapsulation
    •    Abstraction

    Generators & Iterators in Python
    •    Memory optimization Techniques
    •    Lazy Evaluation
    •    Custom Generators & Decorators


    Exception Handling
    •    Built-in Exceptions
    •    Handling Exceptions
    •    Else keyword with Exception
    •    Finally keyword to define Clean-up Actions
    •    Custom Exception using raise keyword
    •    Assertion Error:
    •    Assert Keyword for Assertions
    •    Creating custom Exception Class


    File Handling
    •    Type of file formats & their significance
    •    File creation & writing data to Files
    •    Reading data from a File
    •    Overwriting Files
    •    Dealing with:
    •    Excel Sheets
    •    CSV files


    Installing Third Party Modules
    •    PIP (Python Package Installer)
    •    Installing packages & modules using PIP


    Standard Library in Python
    •    OS
    •    SYS
    •    math
    •    datetime
    •    random
    •    re
    •    json
    •    csv
    •    urlib
    •    requests
    •    zipfile
    •    string
    •    time
    •    cProfile
     

    Power BI Introduction 
    Power BI Components 
    Getting Data using Power BI 
    Power BI Transformations 
    Creating Data Models 
    Power BI Charts 
    Power BI Filters 
    Power BI Visualizations 
    Exploring Data in Power BI 
    Power BI and Excel 
    Power BI Publishing and sharing 
    Power BI Integration with Data Sources
    Data Analysis Expressions (DAX) 
    o Math & Stats 
    o SUMX & Calculate Function 
    o Related Function 
    o All Function 
    o Aggregate Functions 
    o Date Functions 
    o Logical Function

    o String Functions 
    o Filter Functions 
    o Trigonometric Functions 
    o Time Intelligence Functions
    Reports – Objects & Charts, Formatting Charts 
    o Report Interactions 
    o Bookmarks 
    o Managing Roles 
    o Custom Visuals 
    o Desktop vs Phone Layout 
    o Artificial Intelligence Visuals – Key Influencers

    What is Data Visualization 
    o Advantages & Disadvantages of visualizations 
    o Why Data Visualization Important 
    o Understanding data 
    o Different data visualizations 
    Tableau –Data Visualization Tool 
    Introduction to Tableau 
    o What is Tableau? 
    o Overview Of Tableau Tool (Servers , data , visualizations)
    Extensions in Tableau 
    Features of Tableau Desktop 
    Tableau-Joins and Data Pane 
    Tableau Data Pane 
    Pivot Table and Split Tables in Tableau 
    In built Charts in Tableau 
    o Basic Charts 
    o Text Tables 
    o Highlight Tables 
    o Bar charts 
    o Stacked Bar 
    o Line Graphs 
    o Dual axis 
    o Pie chart etc. 
    Maps in Tableau 
    Data Interpretation

    Getting Started with Excel 
    Workbook Protection & Security 
    Data Formats, Data Formatting & Alignment 
    Hands on Practice on Short Keys 
    Conditional Formatting 
    Advanced Conditional Formatting techniques 
    Graphs & Charts 
    Advanced Charts – Waterfall/ Bridge Graphs 
    Data Tools- Filtering, Sorting, Remove Duplicates, Data Validation, Grouping 
    Absolute and Relative Referencing Concepts 
    Case Studies on Absolute and Relative Referencing 
    Specialized Functions/Formulas 
    Lookup Functions 
    Vlookup & its Limitations, Hlookup, Index Match, Hyperlink, Indirect, Offset, 
    Transpose 
    Vlookup Case Studies
    Vlookup General Problems, Vlookup with Match Function, Vlookup using (*) 
    problems, Vlookup using Running Countif, Nested Vlookup 
    Text Formulas – 
    o Char, Concatenate, Exact, Find, Left, Right, Proper, Search, Mid, Upper 
    Logical Formulas – 
    o And, If, IfError, Not, OR, True 
    Date Time Formulas - 
    o Day, Date, Hour, Minute, Second, Time, Month, Year, Today, Weekday, Now 
    Mathematical Formulas – 
    o Sum, Sumif, Sumifs, Count, Countif, Mod, Product, Sumproduct, Roundup, Array 
    Formulas 
    Pivot Reports/ Dashboard 
    o Pivot Table & Pivot Charts 
    o Waterfall Mode

    Comparision
    Types of SQL Commands
    Data Definition Language
    o Create, Drop, Truncate, Alter and Rename Objects
    Data Query Language
    o Select Statements
    Data Manipulation Language
    DCL and TCL
    o Grant, Revoke and transaction statements
    SQL Data Types
    o Numeric, Date and TIme, LOB Types
    DML Commands
    o Insert, Update and Delete Statements
    DDL Commands
    o Create and Drop Databases
    SQL Transactions
    o Examples
    ACID Properties
    TCL Statements
    o Start, Commit and Rollback Statements
    Auto Commit
    SavePoints
    o Identifier
    o Rollback and Release
    Database Objects
    Tables
    o Creating, Altering and dropping tables
    Views
    o Advantages
    o Creating and Dropping Views
    Indexes
    Stored Objects
    o Types of Stored Objects
    Stored Procedures
    Operators and Functions
    Joining Tables
    o Inner Join, Left Join, Right join
    Advantages of Procedures
    Database Triggers Accessing Database From R and Python
    Triggers

    Installation of Python 
    Python Strings 
    Python Lists 
    Python Datatypes & Python Loops 
    Python Tuples 
    Python Dictionary 
    Python Date & Time 
    Python Operators 
    Python Functions 
    Python I/O Functions 
    Debugging & Python Database Access – MySQL 
    Working with CSV & Excel Files 
    Advanced Data Types 
    o Deque in Python 
    o Python Dict 
    o Python Tuples 
    o Python Frozenset 
    o Difference between List, Tuple, Dict, Set, FrozenSet 
    Python Comprehensions 
    o List Comprehensions 
    o Set Comprehensions 
    o Dictionary Comprehensions 
    o Set Comprehensions 
    Numpy 
    Pandas 
    Data Analysis & Visualization in Python 
    Web Scrapping 
    Email Automation

Data analytics doesn't have a global certification.

Python Developer:

A developer who does the programming in python and  is responsible for writing server-side web application logics in Python . Python web developers usually develop back-end components , trying to connect the application with other web services, and support the front-end developers by the integration of their programming with the front end development 

Data Scientist:

Data scientists are those who crack complex data problems with their strong expertise in data science which includes python programming concept, data analysis and interpretation .Their work is to work with  various mathematics, statistics, computer science related problems and provide a  growth solution to the organisation.

Research Analyst:

A research analyst is a professional who prepares investigative reports on securities or assets for  a client use and is responsible for researching, analyzing, interpreting, and presenting data related to markets, operations, finance/accounting, economics, customers, and other information related to the field they work in.

Software Developer / Engineer :

A software developer or en engineer who have the knowledge of Machine learning and can handle data science roles . People who are skilled in R, Python, Java or other relevant languages and having experts in knowledge graph mining or text mining.

Data Analyst :

- An analyst  who collects the data, processes it and performs statistical analysis. According to which he translates the figures into simpler language and helps the organisations and companies to understand how to make better business 

  • Placement Assistance
  • Live Project Assessment
  • Lifetime Career Support
  • Lifetime Training Membership (Candidate can join same course again for purpose of revision and update at free of cost at our any center in India or you can solve your query by online help)
  • Python Based Exam Scenario Preparation Included IN Training
  • Python Certification Preparation

Enrollment For Data Analytics

Job Oriented Program

Our Job Oriented Program is one of a kind and a unique program that offers you 100% job guarantee right after completing the certification program and training with us. It is one of our renowned programs for producing job ready and experienced candidates with apt technical and soft skill knowledge, demanded in the prompt evolving IT and digital industries.

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1 Year Diploma Program

Absolutely FREE & 100% JOB GUARANTEE

Get training on Linux, Ansible, Devops ,Python , Networking , AWS and Openstack Cloud by Certified Trainers at GRRAS. You would be able to get the best training along with the interview preparation in this course module .

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