Data analyst training in Chennai

The world relies on data to a great extent. Data analysis is used in a variety of sectors. It has become so universal that a career in data analysis is much in demand nowadays. When we think about data analysis, it is the method of assessing data with the help of analytical or statistical tools. Through these tools like Python, Microsoft Excel, R etc. the data analyst will find out helpful information. Data visualization is an important aspect in data analysis wherein the data are presented visually. There are certain data visualization tools including Tableau, Power BI and MicroStrategy that give life to the data.

 

Get to know the important concepts of data analysis from RVP Infosystems!

The role of data analysts is to use data to make good organizational decisions. Data analysts leverage the best of programming concepts, mathematics and statistics to make decisions from data, thereby enhancing the business performance. They are one of the major resources of the analytics team. They involve presenting the data in such a way that there is no unnecessary confusion. The data analyst should also make sure that there is thorough data integrity. They involve in both quantitative and qualitative analysis of data.

The key lies in exploring data through meaningful methods. The action of changing the raw data into meaningful insights is a great skill of the data analyst, who also should have leadership abilities. They are even involved in making decisions which involves deciding on the continuity of the business. Such is the importance of their role.

Data analysts streamlines, makes meaning out of the data and presents the data as useful details. There is a comprehensive approach adopted by the data analyst for recording, evaluating and demonstrating the data. This should be done in such a way that the business can make the right decisions. Enroll in RVP Infosystems to learn about data analysis, which is a part of data analytics (data analytics is the umbrella term that consists of total management of data). The trainers focus on practical sessions and there is adequate career support. The syllabus is well-framed and comprehensive, and the expert trainers concentrate on the holistic development of the students.

 

Enter a great career in data analysis!

Data analyst is an in-demand role because companies nowadays are increasing their analytics requirements. Data analysts transform data into details that are highly useful for the organization. There are different domains that need data analysts. In fact organizations using data need data analysts to evaluate it. Data analysts use the data to evaluate risks, understand customers etc. They essentially dig deep into data and work on it to forecast risks, identify trends etc. They are involved in reporting and building dashboards. The future for data analyst is bright. In fact, after working as a data analyst, you can also get into the role of data scientist where long-term research capabilities are needed. Once the data analyst proves his/her mettle in the domain, he/she can gain leadership roles.

 

What is the difference between data analyst and data scientist?

Are you curious about taking up a career that involves data? Then you may think of both a data analyst and data scientist. Though data analysts and data scientists may seem interchangeable, they are not so. While data analysts look into the present scenario of their companies by interpreting data into details accessible to the organization, data scientists are mostly involved in research and forecast. But it remains that both of them work with data and both are in-demand roles.

Prerequisites for data analyst training

It would be good if you have knowledge about mathematics, statistics, Microsoft Excel and SQL to learn data analysis.

Data analysts generally have a great skill set. They are highly efficient in handling numbers and information. They deal with data programs and should articulate their thoughts accurately. Besides, the aspiring candidate should keep in mind that data analysis involves changing trends and technologies. Hence, they should keep abreast of the latest trends in the huge ocean of data.

 

At RVP Infosystems, we lay a strong foundation for your career in data analysis. You will work in practical projects and enhance your skills. Once you compete the coaching, which concentrates on placement assistance to a great extent, you will have an edge over others.

SQL SYLLABUS

Adv Excel SYLLABUS

 

Advanced Excel Course - Overview of the Basics of Excel

  • Customizing common options in Excel

  • Absolute and relative cells

  • Protecting and un-protecting worksheets and cells

Advanced Excel Course - Working with Functions

  • Writing conditional expressions (using IF)

  • Using logical functions (AND, OR, NOT)

  • Using lookup and reference functions (VLOOKUP, HLOOKUP, MATCH, INDEX)

  • VlookUP with Exact Match, Approximate Match

  • Nested VlookUP with Exact Match

  • VlookUP with Tables, Dynamic Ranges

  • Nested VlookUP with Exact Match

  • Using VLookUP to consolidate Data from Multiple Sheets

 

Advanced Excel Course - Data Validations

  • Specifying a valid range of values for a cell

  • Specifying a list of valid values for a cell

  • Specifying custom validations based on formula for a cell

 

Advanced Excel Course - Working with Templates

  • Designing the structure of a template

  • Using templates for standardization of worksheets

Advanced Excel Course - Sorting and Filtering Data

  • Sorting tables

  • Using multiple-level sorting

  • Using custom sorting

  • Filtering data for selected view (AutoFilter)

  • Using advanced filter options

 

Advanced Excel Course - Working with Reports

  • Creating subtotals

  • Multiple-level subtotals

  • Creating Pivot tables

  • Formatting and customizing Pivot tables

  • Using advanced options of Pivot tables

  • Pivot charts

  • Consolidating data from multiple sheets and files using Pivot tables

  • Using external data sources

  • Using data consolidation feature to consolidate data

  • Show Value As ( % of Row, % of Column, Running Total, Compare with Specific Field)

  • Viewing Subtotal under Pivot

  • Creating Slicers ( Version 2010 & Above)

 

Advanced Excel Course - More Functions

  • Date and time functions

  • Text functions

  • Database functions

  • Power Functions (CountIf, CountIFS, SumIF, SumIfS)

 

Advanced Excel Course - Formatting

  • Using auto formatting option for worksheets

  • Using conditional formatting option for rows, columns and cells

Advanced Excel Course - WhatIf Analysis

  • Goal Seek

  • Data Tables

  • Scenario Manager

 

Advanced Excel Course - Charts

  • Using Charts

  • Formatting Charts

  • Using 3D Graphs

  • Using Bar and Line Chart together

  • Using Secondary Axis in Graphs

  • Sharing Charts with PowerPoint / MS Word, Dynamically

  • (Data Modified in Excel, Chart would automatically get updated)

 

Advanced Excel Course - New Features Of Excel

  • Sparklines, Inline Charts, data Charts

  • Overview of all the new features

VBA Syllabus

Advance VBA Training Syllabus

 

  • Introduction to Excel

  • Introduction to Programming 

  • VBA Overview and the IDE

  • Quick Review of Macros

  • Working with Macros

  • How to use Visual Basic Editor (Programming Environment)

 

Advantages of VBA

  • An easy-to-use and versatile language

  • Integrated with off-the-shelf products

 

Understanding The VBA Editor, Module & Procedures

  • The Visual Basic Editor

  • Parts of the VBA Editor

  • Modules and Macros

  • About VBA Forms, Sub Procedures & Modules

  • Creating Forms

  • Using Controls and their Properties

  • Runnig VBA Forms in Excel

 

VBA Syntax and Grammar

  • Objects – The Grammar

  • Using Properties and Methods

  • Understanding Parameters

  • The Object Browser

  • Understanding object hierarchy

  • Tools for better coding

  • Moving to Other Cells

  • Editing Specific Cells

 

Storing data in Variables

  • How and when to declare variables

  • Selecting data types Fixed and dynamic arrays Constants

 

Control Structure and Program flow

  • IF (Else If, Else)

  • Select Case() For Next Loop For Each Loop()

  • Do Until Loop and Do While Loop With, End With

  • Nesting Code

 

Building Produres

  • Creating Sub and Function procedures

  • Calling procedures

  • Passing arguments to procedures

 

Building Intuitive User Interfaces

  • Communicating with the user through the message box

  • Gathering user information with the input box

  • Utilizing the File Dialog object and Dialogs collections

 

Variables,Arrays &Constants

  • Using the Immediate Window

  • Gaining greater control through the immediate window Formatting Cells

  • Using Variables Constants Object Variables

  • Dimensioning and usage of variables

  • Displaying data and obtaining data from the user