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Course Duration

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Data Analytics & BI

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  • Data analytics emphasised extracting insights from data. It consists of the procedure of tools & techniques related to data management as well as analysis. The chief purpose of the Data Analyst Training Course is to know how to apply statistical techniques & technologies for finding data & solving problems. As a result, this specific course has been grabbing a lot of getting acceleration.
  • However, by the industrial experts, it gets regarded as exploring as well as analysing the datasets for finding out the hidden patterns. In fact, the Database Analyst Courses in seeking the unseen trends, discovering the correlations & extracting information. Businesses are using our latest trends for capturing the needs & requirements of businesses. Resultantly, the demand for Data Analytics Training in Noida boosting up.

Data Analytics Training In Noida

About-Us-Course

  • The Data Analyst Course Noida offers an overview of Big Data and helps out the candidates in assisting with different complicated procedures. Moreover, emphasises a variety of Analytics things needed to make out organisation efficient. Additionally, Data Analyst Training in Noida increasing its demand;
    • The Data Analyst Course Noida will help you know how to develop an in-depth understanding of key technologies related to Data Analytics.

      Solving the practical problems of data analytics.

      Gaining practical & hands-on experience with tackling main things.

      Using the data mining tools for handling new procedures.

      Employing cutting-edge technologies for analysing Big Data.

  • By approaching a decent Data Analyst Institute in Noida, you will end up knowing every section and the latest trends related to this domain easily.

  • After completing the Data Analyst Course in Noida the salary gets out in the range of Rs 1.8 lakh to Rs 11.9 lakh. Moreover, as per the reports of the ambition box, the average salary gets struck out at the rate of 15 lakh per annum.

  • Getting out of a job in Data Analytics is the first step in growing out of the career in the domain of Data Analytics. In case you have no previous experience in this domain then you can go through the below-mentioned course prospects after Data Analytics Training in Noida;
    • One of the main responsibilities of a Data analyst is maintaining timely reports. These reports merely involve providing essence to the businesses for making top business decisions.

      While for other departments a data analyst needs to collaborate with the teams. Good collaboration with the teams ensures out better functioning of organisations.

      A proper Data Analyst Course will help you know the role of a data analyst properly. In a nutshell, they are responsible for drawing out complicated conclusions. It is essential to check out the seamless process of analysing the complex circumstances of the real world.

      Data analysis is a dream job in any organisation which involves handling the job responsibilities. They need to become intact with the activities & knowledge. And Data Analyst Course in Noida will eventually help them to fulfil their excuses.

      If you are just starting your career as a Data Analyst it is important for you to gather knowledge. The job requires analytical skills with the means of some advanced tools. Moreover, the Data Analyst Course will help you enter this domain confidently. It will in fact let you know their role in a much better and detailed manner.

  • Undoubtedly, everyone heard about data analyst courses in Noida with placement in modern businesses because they are responsible for handling organisational functions. Simply, data analytics is critical to handling organisational projects. As the Data Analyst training in Noida gets completed you have to overcome the reasons behind its popularity:
    • Yes, undoubtedly, data analytics is a great career option simply make out a person data analyst. Moreover, over 2.5 quintillions of data are created every day, and the place is quickening across the vertical.

      Moreover, the explosion of data is driving out the industrial verticals which leverage new technologies for handling organisational operations. It also sees out the scope & sophistication of this domain.

      The high demand for data analyst courses in Noida with placement also correlates with the increase in salary as many of the data analysts' salaries range from $70,000. You can start with junior positions.

      Data analysts have to work collaboratively and contribute to the decision-making process at the highest level in the organisation. Moreover, data analysis course in Noida can easily translate the move into new opportunities.

      According to the outlook reports targeted for the Data Analysts IBM predicted that the number of jobs for the designation of data analysts sees an increase by 2,70,000 per year.

  • Know More About Data Analytics :Click Here

  • Data analysts are the professionals who are responsible for the senior leadership in the organisation who make strategic decisions. After completing the course from the Data Analytics training institute in Noida you have to follow the below-mentioned primary duties:
    • Strong expertise in the ecosystem of data analytics and well-adapted with tools like Spark, Hive, Sqoop, Kafka, Oozie, Yar, etc.

      In-depth knowledge of the various architectures of distributed systems as well as parallel computing.

      Experiencing the implementation of data pipelines for serving out the reportage purpose.

      Proper knowledge of import/export of data analytics course in Noida as well as databases using the Sqoop tool.

      Post enrolling in the data analytics courses Noida, you will get to know how to build production-ready modules using the Spark RDD APIs, Data frames as well as scream streamlining.

  • After completing this specific course, multiple organisations will get to hire out of the pool of candidates. So, it's genuinely important to approach the Best institute for data analyst courses in Noida, especially when you are thinking of establishing your career in this field. If we talk regarding the organisations then it is Infogain Solutions Pvt Ltd, PubMatic, Serving Skill, Reliance Retail, Huquo Consulting Pvt Ltd, Wipro, CBRE, etc.

  • While completing the Data Analytics Course in Noida you get out personalised training with specialised faculty members. Moreover, as this specific institution is referred to as the best data analytics institute in Noida, along with training, and study material, you also get out 100% globally recognized training certificate which will boost the chances of getting a job in a competitive market.

Why should you learn Data Analytics?

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CURRICULUM & PROJECTS

Data Analytics Certification Training

    Understanding Concepts of Excel

    • Creation of Excel Sheet Data
    • Range Name, Format Painter
    • Conditional Formatting, Wrap Text, Merge & Centre
    • Sort, Filter, Advance Filter
    • Different type of Chart Creations
    • Auditing, (Trace Precedents, Trace Dependents)Print Area
    • Data Validations, Consolidate, Subtotal
    • What if Analysis (Data Table, Goal Seek, Scenario)
    • Solver, Freeze Panes
    • Various Simple Functions in Excel(Sum, Average, Max, Min)
    • Real Life Assignment work

    Ms Excel Advance

    • Advance Data Sorting
    • Multi-level sorting
    • Restoring data to original order after performing sorting
    • Sort by icons
    • Sort by colours
    • Lookup Functions
      • Lookup
      • VLookup
      • HLookup
    • Subtotal, Multi-Level Subtotal
    • Grouping Features
      • Column Wise
      • Row Wise
    • Consolidation With Several Worksheets
    • Filter
      • Auto Filter
      • Advance Filter
    • Printing of Raw & Column Heading on Each Page
    • Workbook Protection and Worksheet Protection
    • Specified Range Protection in Worksheet
    • Excel Data Analysis
      • Goal Seek
      • Scenario Manager
    • Data Table
      • Advance use of Data Tables in Excel
      • Reporting and Information Representation
    • Pivot Table
      • Pivot Chat
      • Slicer with Pivot Table & Chart
    • Generating MIS Report In Excel
      • Advance Functions of Excel
      • Math & Trig Functions
    • Text Functions
    • Lookup & Reference Function
    • Logical Functions & Date and Time Functions
    • Database Functions
    • Statistical Functions
    • Financial Functions
    • Functions for Calculation Depreciation
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    SQL Server Fundamentals

    • SQL Server 2019 Installation
    • Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
    • SQL Server Features & Purpose
    • Using Management Studio (SSMS)
    • Conguration Tools & SQLCMD
    • Conventions & Collation

    SQL Server 2019 Database Design

    • SQL Database Architecture
    • Database Creation using GUI
    • Database Creation using T-SQL scripts
    • DB Design using Files and File Groups
    • File locations and Size parameters
    • Database Structure modications

    SQL Tables in MS SQL Server

    • SQL Server Database Tables
    • Table creation using T-SQL Scripts
    • Naming Conventions for Columns
    • Single Row and Multi-Row Inserts
    • Table Aliases
    • Column Aliases & Usage
    • Table creation using Schemas
    • Basic INSERT
    • UPDATE
    • DELETE
    • SELECT queries and Schemas
    • Use of WHERE, IN and BETWEEN
    • Variants of SELECT statement
    • ORDER BY
    • GROUPING
    • HAVING
    • ROWCOUNT and CUBE Functions

    Data Validation and Constraints

    • Table creation using Constraints
    • NULL and IDENTITY properties
    • UNIQUE KEY Constraint and NOT NULL
    • PRIMARY KEY Constraint & Usage
    • CHECK and DEFAULT Constraints
    • Naming Composite Primary Keys
    • Disabling Constraints & Other Options

    Views and Row Data Security

    • Benets of Views in SQL Database
    • Views on Tables and Views
    • SCHEMA BINDING and ENCRYPTION
    • Issues with Views and ALTER TABLE
    • Common System Views and Metadata
    • Common Dynamic Management views
    • Working with JOINS inside views

    Indexes and Query tuning

    • Need for Indexes & Usage
    • Indexing Table & View Columns
    • Index SCAN and SEEK
    • INCLUDED Indexes & Usage
    • Materializing Views (storage level)
    • Composite Indexed Columns & Keys
    • Indexes and Table Constraints
    • Primary Keys & Non-Clustered Indexes

    Stored Procedures and Benets

    • Why to use Stored Procedures
    • Types of Stored Procedures
    • Use of Variables and parameters
    • SCHEMABINDING and ENCRYPTION
    • INPUT and OUTPUT parameters
    • System level Stored Procedures
    • Dynamic SQL and parameterization

    System functions and Usage

    • Scalar Valued Functions
    • Types of Table Valued Functions
    • SCHEMABINDING and ENCRYPTION
    • System Functions and usage
    • Date Functions
    • Time Functions
    • String and Operational Functions
    • ROW_COUNT
    • GROUPING Functions

    Triggers, cursors, memory limitations

    • Why to use Triggers
    • DML Triggers and Performance impact
    • INSERTED and DELETED memory tables
    • Data Audit operations & Sampling
    • Database Triggers and Server Triggers
    • Bulk Operations with Triggers

    Cursors and Memory Limitations

    • Cursor declaration and Life cycle
    • STATIC
    • DYNAMIC
    • SCROLL Cursors
    • FORWARD_ONLY and LOCAL Cursors
    • KEYSET Cursors with Complex SPs

    Transactions Management

    • ACID Properties and Scope
    • EXPLICIT Transaction types
    • IMPLICIT Transactions and options
    • AUTOCOMMIT Transaction and usage
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    Introduction to Power BI

    • Overview of BI concepts
    • Why we need BI
    • Introduction to SSBI
    • SSBI Tools
    • Why Power BI
    • What is Power BI
    • Building Blocks of Power BI
    • Getting started with Power BI Desktop
    • Get Power BI Tools
    • Introduction to Tools and Terminology
    • Dashboard in Minutes
    • Interacting with your Dashboards
    • Sharing Dashboards and Reports

    Power BI Desktop

    • Power BI Desktop
    • Extracting data from various sources
    • Workspaces in Power BI

    Power BI Data Transformation

    • Data Transformation
    • Query Editor
    • Connecting Power BI Desktop to our Data Sources
    • Editing Rows
    • Understanding Append Queries
    • Editing Columns
    • Replacing Values
    • Formatting Data
    • Pivoting and Unpivoting Columns
    • Splitting Columns
    • Creating a New Group for our Queries
    • Introducing the Star Schema
    • Duplicating and Referencing Queries
    • Creating the Dimension Tables
    • Entering Data Manually
    • Merging Queries
    • Finishing the Dimension Table
    • Introducing the another DimensionTable
    • Creating an Index Column
    • Duplicating Columns and Extracting Information
    • Creating Conditional Columns
    • Creating the FACT Table
    • Performing Basic Mathematical Operations
    • Improving Performance and Loading Data into the Data Model

    Modelling with Power BI

    • Introduction to Modelling
    • Modelling Data
    • Manage Data Relationship
    • Optimize Data Models
    • Cardinality and Cross Filtering
    • Default Summarization & Sort by
    • Creating Calculated Columns
    • Creating Measures & Quick Measures

    Data Analysis Expressions (DAX)

    • What is DAX
    • Data Types in DAX
    • Calculation Types
    • Syntax, Functions, Context Options
    • DAX Functions
      • Date and Time
      • Time Intelligence
      • Information
      • Logical
      • Mathematical
      • Statistical
      • Text and Aggregate
    • Measures in DAX
    • Measures and Calculated Columns
    • ROW Context and Filter Context in DAX
    • Operators in DAX - Real-time Usage
    • Quick Measures in DAX - Auto validations
    • In-Memory Processing DAX Performance
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    Introduction To Python

    • Installation and Working with Python
    • Understanding Python variables
    • Python basic Operators
    • Understanding the Python blocks.

    Python Keyword and Identiers

    • Python Comments, Multiline Comments.
    • Python Indentation
    • Understating the concepts of Operators
      • Arithmetic
      • Relational
      • Logical
      • Assignment
      • Membership
      • Identity
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FAQ's

The most relevant question relates to the Data Preparation Method.

  • Extracting relevant information from the pool of data.
  • Implementing the extracted insights.
  • Finding out the new techniques of data analysis.

  • An ISO Certified.
  • Well-trained faculties.
  • End-to-end personalised secession.

Candidates coming from Economics, Computer Science, Mathematics, and Information Management can easily go out in this domain.

  • Understanding analytical skills.
  • Starting with a career framework.
  • Practising skills regularly.

There are certain parameters that you need to consider while searching for the best educational foundation concerning this course. They are- positive reviews, proximity from your area, fee structure, course content etc.

There are numerous factors why this specific institution is referred to as the best. One of the significant reasons is its interactive training sessions, updated course content, and placement assistance.

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  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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Real-life Case Studies

Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

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Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

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