Data Analytics Training in Delhi

Data Analytics Course in Delhi

Data Analytics Course in Delhi

What is Data Analytics Course

In the rapidly evolving landscape of technology, data has emerged as the cornerstone of decision-making across industries. Harnessing the potential of data requires specialized skills, and a Data Analytics course is the key to unlocking the doors to this dynamic field. In the heart of India’s educational hub, Delhi, individuals can embark on a transformative journey through a Data Analytics course in Delhi that equips them with the knowledge and expertise needed to thrive in this data-driven era.

Data Analytics is the process of inspecting, transforming, and modeling data to extract valuable insights, draw conclusions, and support decision-making. This field combines elements of statistics, mathematics, computer science, and domain-specific knowledge to analyze complex datasets.

If you’re specifically interested in pursuing a data analytics course in Delhi using Python, there are additional factors to consider.

Data analytics course in Delhi are designed to align with the requirements of the local job market. Python is often a key component of these courses, ensuring that students acquire skills that are in demand by businesses and organizations in the region.

The Need for Data Analytics Training in Delhi:

  • Explore the increasing importance of data analytics in today’s business landscape.
  • Discuss how organizations in Delhi are leveraging data analytics for strategic decision-making and enhanced performance.

Key Components of Data Analytics Training:

  • Highlight the essential skills covered in data analytics training programs.
  • Discuss the significance of statistical analysis, data visualization, machine learning, and predictive modeling in the curriculum.

Industry-Relevant Curriculum:

  • Explore how data analytics institute in delhi align with the current industry requirements.
  • Discuss case studies and real-world applications incorporated into the curriculum.

Hands-On Learning and Projects:

  • Discuss the significance of practical, hands-on exercises and projects in data analytics training.
  • Showcase how students can apply their knowledge to real-world scenarios through industry-relevant projects.
data analytics training in delhi

Why data analytics training in delhi is a Boost to Career

In today’s fast-paced digital era, data has become the lifeblood of businesses, driving decision-making processes and strategic initiatives. As a result, the demand for skilled professionals in the field of data analytics has skyrocketed. If you’re looking to give your career a significant boost, enrolling in a data analytics course near me could be the game-changer you need.

  1. High Demand for Data Analytics Skills:

    • In virtually every industry, organizations are leveraging data to gain insights and stay competitive.
    • Employers actively seek individuals with the ability to analyze data and extract meaningful conclusions to drive business growth.
  2. Diverse Career Opportunities:

    • Data analytics skills open doors to a myriad of career opportunities, including roles such as data analyst, business intelligence analyst, data scientist, and more.
    • Industries such as finance, healthcare, marketing, and e-commerce all rely on data analytics professionals to make informed decisions.
  3. Competitive Edge in the Job Market:

    • With the job market becoming increasingly competitive, having a strong foundation in data analytics sets you apart from other candidates.
    • Employers prioritize candidates who can contribute to data-driven decision-making processes.
  4. Increased Earning Potential:

    • Data analytics professionals are often rewarded with higher salaries due to the specialized nature of their skills.
    • Investing in a data analytics classes near me can lead to a significant return on investment in terms of career advancement and financial rewards.
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    Course Content

    Module-1 Advance Excel
    • Excel Interface
    • Number Formats, Styles
    • Cell Formatting, sor and filter
    • Conditional Format
    • Pivot Table/ Charts
    • Page Settings, Salary Sheet
    • V-lookup, H-lookup
    • Define Names
    • Advance Functions
    • Adv. Filter, Formula Auditing
    • Data import, Validation
    • Consolidation
    • Goal seak, Macro
    Module-2 Tableau Training
    • Introduction to tableau desktop
    • Working with data
    • Connect to and prepare data
    • Design views and analyze data
    • Multiple table join
    • Data blending
    • Toggle Between to direct connection
    • Calculated fields
    • Working with aggregate vs diaggregate data
    • Explain number of rows
    • Basic Functions
    • Usage of logical conditions
    • My First Dashboard
    • Colors
    • Adding labels and formatting
    • Exporting the worksheet
    • Connecting tableau with different data sources
    • Building interactive dashboards – Building views (Reports)
    • Making your worksheet interactive by using actions filter, Url, heightlight
    • Building reports using advanced maps
    • Advanced data preparation + Analytics in tableau
    • Tableau server
    • Level Of Details
    • Understanding ATTR in Tableau
    • LOD Types – include, Exclude and Fixed
    • Multiple fields in LOD
    • Tableau assignment and case studies
    Module-3 Sql
    • Introduction SQL
    • Syntax
    • Data Types
    • Operators
    • Expressions
    • Comments
    • DDL, DML, DCL Commands
    • Functions
    • Clauses
    • Queries & Sub-Queries
    • Joints
    • Transactions
    • Case Study And Project
    Module-4 Power BI
    • Introduction to Power BI
    • Transforming Data
    • Introduction to Modeling Data
    • Creating The Data Model
    • Creating Calculated Columns and Tables
    • Creating Basic Reports with PowerBI desktop
    • Creating Interactive Reports
    • Using the Power BI service
    • Refreshing the Data
    • Mobile BI
    • Introduction DAX
    • Data modeling basics Tabular
    • Creating Calculated Columns
    • Navigation Functions
    • Conditional and Logical Functions
    • Advanced DAX
    • Working with Filter Context
    • Power BI Report Server
    • Class Introduction
    • Getting started Power BI Desktop
    • Getting started Licensing
    • Installation
    • Configuration
    • Deploment Publish to report server
    • Deployment Uploading from report server
    • Deployment Folder Structure
    • Shedulling a Data Refresh
    • Security Row Level Security
    • Security Assigning Power BI report premissions
    • Case study and project
    Module-5 Alteryx Syllabus
    • Introduction of Alteryx
    • Understanding Alteryx Designer Terminology Workflow Canvas
    • Alteryx Designer Interface
    • Designer UI
    • Tool palettes
    • Configuration
    • Workflow Canvas
    • Restructure your data
    • Handling Data
    • Missing data skip, random sample, append data
    • Impute Values
    • Data Cleaning
    • Formula
    • Join data from different sources
    • Filter
    • Summarize
    • Browse
    • Join Multiple
    • Create Static Report
    • Parsing Data with regular expressions
    • Assignments
    Module-6 Python
    • Introduction to Python Language
    • Download & Install Python
    • Syntax
    • Keywords and Identifiers
    • Comments
    • Variables
    • Data Types
    • Operators
    • Control Flow – Decision Making
    • Control Flow – Looping
    • Control Flow – Branching
    • Numbers
    • Strings
    • Lists
    • Tuples
    • Sets
    • Dictionaries
    • Arrays
    • user-defined Functions
    • Built-in Functions
    • Modules
    • User Input
    • File Handling
    • Exceptions Handling

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