Course Objective

Training Outcomes

1.     Aimed To Prepare You From A Beginner to the Advance Level JOBS 

2.     TCA Training Provides A Gateway to an Impressive Career Opportunity 

3.     Become Industry Ready Professionals By Learning Most In Demand Technology  

4.     Build Career Into A Distinguished And Globally Acknowledged Technology 

5.     Secure an Outstanding Hike of 80 to 100% By Learning Most in Demand Technology

6.     Enables you to gain complete set of technical expertise to clear interviews

7.     Intended to Master You for a Sustainable Career in Most Competitive JOBs

8.     Allows you to explore Cutting-Edge Technology & Hottest Job Market

Project Submission

1.     One Major Project will be assigned to everyone attending this course with us.

2.     The trainees you required to submit the final projects assigned to the for evaluation.

3.     We will also provide weekly assignments to practice practical aspects of the training

4.     There will be case-studies given to every participant to make entire learning process easier

5.     The Assignments, Case-Studies & Projects performance will affect the gradings during certifications

Online Evaluation

1.     To become eligible for TCA Certifications every trainee is evaluated 

2.      The evaluation process is done through comprehensive online test

3.     Assignments, Projects & Case-Studies Reports also add-ons to the CERTIFICATION

4.      The grades are decided on the basis of all of the above evaluation factors

Become Certified

1.     We provide course completion certificates to all the trainees 

2.     TCA Certificates are valued & recognized by TOP CORPORATES 

3.     For many of the courses we are authorized training partners of various MNCs

4.     The Authorized training partnerships also ads more values to the certifications

100% Job Assured

1.    We provide 100% Placement assurance on completion on the course

2.    Our 3 Years of Free Membership also helps learners in re-placements 

3.    We have got TIE-UPS with many a company for placement services

4.     TCA is the TOP-MOST institution for Corporate Trainings & Leadership Development

5.    Our Corporate Training TIE-UPS further helps industries as well learners for building INDUSTRY-READY-WORKFORCE

6.    We provide Employability-Orientation-Sessions to Make our Trainees INDUSTRY-READY-PROFESSIONALS

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Master in Data Analyst Training Programme

Master in Data Analyst

Data analytics is the science of examining & analyzing raw data to drive useful assumptions (trends and answer questions) about that specific information. Numerous techniques and procedures of data analytics are broadly used by organizations and robotic into mechanical processes and algorithms that work over raw data for more cognizant business decisions.

Data analytics techniques can uncover trends and metrics that would or else be misplaced in the mass of information. This information can then be utilized to elevate processes to increase the total output efficiency of a business or system.

Why It Is The Most Demanding Skill Now a Days?

Itis currently a buzzword of the 21st century. Data is ubiquitously. Every aspect of data (from large-scale organizations, enterprises to individual data) needs to be analyzed to benefit everyone from it.But how do we do it?Well, that’s where ‘Data Analytics’ comes to the rescue. As you are all now aware of why it is so essential to big organizations and enterprises, it is usual that they require skilled and professional data analysts to accomplish the above mention tasks and drive key business decisions, and meet consumer demands more efficiently.

In 2018 the WEF forecasted for the prospect workforce that, 85% of companies will have instigated big data and analytics technologies by the end of the year 2023. It was also found that 96% of best companies were planning or likely to plan to procure new enduring staff with relevant data analytics skills to fill big data analytics-related roles.

Are you looking for theBest Institute for Data Analytics Course in Delhi? TCA offers Data Analytics training classes with live projects by the expert trainer inDelhi. Our Data Analytics training program inDelhiis specially designed for Under-Graduates (UG), Graduates, working professionals, and also for Freelancers. We offer end-to-end learning onthis specific field with deeper dives for forming a winning career for every profile.

Become a Master in data analyst today!

The rising demands of skilled data analysts to fill the high-paying positions need to be fulfilled. If you are a person who loves to play with data, a data analytics course in Delhi is exactly for you.TCA is the best data analytics training institute in Delhi provides hands-on training to data fanatics to become skilled data analysts that any top prominent MNCs will be ready to hire

Why Enroll In Our Data Analytics Training Course in Delhi?

We Focus on Inventive ideas, High-quality Training, Smart Classes, 100% job assistance, Opening the doors of opportunities. Our trainees are working across the nation. We at TCA India, No#1Data AnalyticsCourse inDelhi with 100% Placement.
Data Analytics has become a noteworthy field compared toany other since the embryonic era of data use. Data addition, management, and access are ways to achieve future targets and forecast trends to make critical decisions for all businesses a protected source of information. Data contains many possibilities, and the data analyst is known as the person who uses his power. TCA helps you gain the qualifications required as aefficacious data analyst, and experts are now highly acclaimed to take professional courses from reputed institutes.

Data Analytics

If your business does not grow correctly, you must look at your errors and make a plan, even if your business grows well, without iterating these mistakes. You must also plan for further business growing—all of these things you have to analyze. It aims to provide business insight so that decision-makers can take the necessary steps. As it is an information-gathering process that enables you to explore data and find a pattern from an application or tool. You can make decisions and conclude based on this information.

Basic Skills Required To Learn

  • Programming Languages: He should know programming languages such as R Language and SAS, data collection, viewing of data, etc.
  • Assertive communication: Strong communication is a good way of succeeding. They must make it clear whether it is a decision-making process for the audience or team members.
  • Hands-on Advanced MS Excel training:They need an excellent understanding of excellent, advanced modeling and analysis.
  • Data Visualisation:They need to be clear about what kind of graphs and diagrams are used.

Our courses objective

The students will be able to meet the following objectives at the end of the course:

  • Knowledge of fundamental concepts
  • Understanding of essential languages such as Python and R Programming in this field.
  • Grasp of data processing methods using different techniques.
  • Knowledge of how to use different methods of visualization.
  • A good understanding of how the data analysis, storage, and MIS reports differ.
  • Available analysis tools sound knowledge
  • Understanding how businesses use analytics to achieve growth using the analytical methodology.
  • Having project experience.

If you're a beginner, start learning from a programmer that covers the fundamental elements in detail. No matter how you understand today, however, you always have to choose a course of data analysis that meets your requirements

Career as a Data Analytics

For almost every company and organization, a data analyst's work is obligatory to make future decisions according to prevailing trends. Nowadays this specific job profile is popular and arduous.In quintessence, those interested in math, informatics, logic, and research and analysis like this field, and if you're one of them, you can safe and sound place in the industry after completing your training at TCA.

Students who have completed the course successfully can join companies as Senior Analyst, R Data Analyst, Python Data Analyst, SQL Expert, Business Analyst, Marketing Analyst, Excel Expert, etc.Our Data Analytics course in Delhi covers the training at the professional level led by experts from the industry who have studied in detail data science and data analysis. They will motivate students to excel in classes and final projects. Our teachers offer the best level of training to achieve your objectives.

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Master in Data Analyst Training Programme

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Syllabus of Data Analyst Training
Module 1 : Basic Excel

ü Format Cells: Managing Row Height, Column Width, Merge, Alignment, merge cell.

ü Managing Worksheet: Creating, Renaming, Colouring, Printing Sheets etc.

ü Statistical Functions: sum(), min(), max(), count(), average(), round() etc.

ü Graphically Representing Data: Charts & Graphs

ü Analyzing data: Filter, Sorting, Subtotal, Advanced Filter, Freeze Panes etc.

ü Formatting worksheets, Securing & Protecting spreadsheets

         Working with Functions & Formulae
Module 2: Logical Functions

ü AND(), OR() Functions

ü AND() with IF() Function

ü OR() with IF() Function

ü IFERROR() Function

ü TRUE, FALSE

Module 3 : Data Validation

ü Basic Data Validation

ü How to create List in Data Validation

ü How to Clear Data Validation etc.

Module 4: Text functions

ü Left, Right, Mid

ü Find, Trim, Proper

ü Replace, Concatenating

ü Upper, Lower, Len, Text etc.

Module 5 : Date Functions

ü Today(), Now()

ü Date(), Datedif()

ü Weekday(), Day(), Month(), Year() etc.

Module 6 : Financial Functions

ü PMT(), PPMT()

ü IPMT(), PV(), FV()

ü RATE(), What-If Analysis

ü Goal seek, Data Table

Module 7: Charts & advanced charts

ü Basic Charts, Line Chart

ü Bar Chart, Column Chart

ü Comparison chart

ü Combo Charts etc.

Module 8 : Special Operations

ü Paste Special

ü Protecting sheets

ü Text-to-column

ü Remove Duplicates

ü Flash Fill

ü Consolidate

ü Locking sheets

ü Protecting Sheets

ü Linking Multiple Sheets Sheet Referencing

ü Absolute Value & Reference Value

ü Age Calculations

ü Hyperlink

ü Power View

ü Page Setup

ü Orientation

ü Margins

ü Page Break Preview

ü Proper Use of Column Function

ü Background

Module 9: Lookup Functions

ü vlookup, hlookup, double vlookup

ü vlookup & hlookup with index match

ü vlookup with column function

ü vlookup with match, vlookup with list etc.

Module 10: IF Functions

ü IF Functions

ü Nested IF

ü SUMIF, SUMIFS

ü COUNTIF, COUNTIFS,

ü SUMPRODUCT etc.

Module 11: Pivot Tables

ü Basic Pivot Table

ü Advanced Pivot Table on Real Life Projects

ü Find Sales Performance Report in Pivot Table

Module 12 : MACROS

ü How to record macro

ü How to assign macro on a button

ü How to run macro using short cut key or using button

Module 13: Condition Formatting

ü Data Bars

ü Color Scales

ü Icon Sets

ü Top/Bottom Rules

ü New Rules

ü Manage Rules

Module 14: Dashboards

ü Dashboard using Pivot Table & Charts

ü Comparative Dashboard

ü Performance Dashboard

Module 15: Python Training

ü Introduction to Python

ü Installation of Python

ü Python programs using Spyder, Command Prompt

ü Working with Jupyter Notebooks

ü Manage Package & Environment by Anaconda

ü Python Variables & Operators

ü Basic Data containers: Lists, Dictionaries, Tuples & sets

Module 16: Iterative operations & Functions in Python

ü For Loops in Python

ü List & Dictionary Comprehension

ü While loops and conditional blocks

ü List/Dictionary using loops

ü Functions in Python

ü User Define Classes & Functions

Module 17: Data Analysis Process

ü Need for data summary

ü Summarising numeric data in pandas

ü Summarising categorical data

ü Group wise summary of mixed data

ü Introduction to ggplot & Seaborn

ü Visual summary of different data combinations

Module 18: Data Handling in Python using NumPy & Pandas

ü Introduction to NumPy arrays, functions & properties

ü Introduction to pandas

ü Dataframe functions and properties

ü Reading and writing external data

ü Manipulating Data Columns

Module 19: Statistics with R Programming

ü Probability

ü Binomial Distribution

ü Conditional Probability

ü Bayes Rule

ü Standardizing

ü Sampling Distributions & Center Limit Theorem

ü Confidence Intervals

ü Hypothesis Testing

ü Regression

ü Multiple Linear Regression

üLogistic Regression


Module 20: Data Wrangling

ü Intro to Data Wrangling

ü Gathering Data

ü Assessing Data

ü Cleaning Data

Module 21 : Introduction to SQL

ü What is SQL

ü Why SQL

ü What are relational databases?

ü SQL command group

ü MS SQL Server installation

ü Exercises

Module 22 : SQL Data Types & Operators

ü SQL Data Types

ü Filtering Data

ü Arithmetic Operators

ü Comparison operators

üLogical Operators

Module 23: Useful Operations in SQL

ü Distinct Operation

ü Top N Operation

ü Sorting results

ü Combine results using Union

ü Null comparison

üAlias

Module 24: Aggregating Data in SQL

ü Aggregate functions

ü Group By clause

ü Having clause

üOver clause
Module 25 : Writing Sub-Queries in SQL

ü What are sub-queries?

ü  Sub-query rules

ü Writing sub-queries

Module 26: Common Function in SQL

ü Ranking functions

ü Date & time functions

ü Logical functions

ü String functions

ü Conversion functions

üMathematical functions

Module 27: Analytic Functions in SQL

ü What are analytic functions?

ü Various analytic functions

ü SQL syntax for analytic functions

Module 28: Writing DML Statements

ü What are DML Statements?

ü  Insert statement

ü  Update statement

ü Delete statement

Module 29: Writing DDL Statements

ü What are DDL Statements?

ü  Create statement

ü  Alter statement

üDrop statement

Module 30: Using Constraints in SQL

ü What are constraints?

ü  Not Null Constraint

ü  Unique constraint

ü  Primary key constraint

ü  Foreign key constraint

ü  Check constraint

ü Default Constraint

Module 31: SQL Joins

ü What are joins?

ü Cartesian Join

ü Inner Join

ü Left & Right Join

ü Full Join

üSelf-Join

Module 32: Views in SQL

ü What are views?

ü Create View

ü Drop view

ü Update view

Module 33: Introduction to PowerBI

ü Overview of BI concepts

ü Why we need BI?

ü Introduction to SSBI

ü SSBI Tools

ü Why Power BI?

ü What is Power BI?

ü Building Blocks of Power BI

ü Getting started with Power BI Desktop

Module 34: PowerBI Desktop

ü Power BI Desktop

ü Extracting data from various sources

ü Workspaces in Power BI

ü Data Transformation

ü Measures and Calculated Columns

ü Query Editor

Module 35: Data Analysis Expressions(DAX)

ü Modelling Data

ü Manage Data Relationship

ü Optimize Data Models

ü What is DAX?

ü Data Types in DAX

ü Calculation Types

ü DAX Functions: Date and Time, Time Intelligence, Information, Logical, Mathematical, Statistical, Text and Aggregate

ü Measures in DAX

Module 36: Data Visualization

ü How to use Visual in Power BI?

ü Charts in Power BI

ü Matrixes and tables

ü Slicers

ü Map Visualizations

ü Gauges and Single Number Cards

ü R Visuals in Power BI

ü What Are Custom Visuals?

ü KPI Visuals 

ü Data Binding

ü Power BI report server

Module 37: Introduction to PowerBI Q&A and Data insights

ü Why Dashboard?

ü Dashboard vs Reports

ü Creating Dashboards

ü Configuring a Dashboard: Dashboard Tiles, Pinning Tiles

ü Power BI Q&A

ü Quick Insights in Power BI

ü Power BI embedded

ü REST API

Module 38: Direct Connectivity

ü Custom Data Gateways

ü Exploring live connections to data with Power BI

ü Connecting directly to SQL Azure, HD Spark, and SQL Server Analysis Services/ My SQL

ü Introduction to Power BI Development API

ü Excel with Power BI: Connect Excel to Power BI, Power BI Publisher for Excel

ü Content packs

Module 39: Update content packs Integrating Power BI and Azure ML

ü Extracting data out of Azure SQL using R

ü Using R, call the Azure ML web service and send it the unscored data

ü Writing the output of the Azure ML model back into SQL

ü read scored data into Power BI using R

ü Publishing the Power BI file to the Power BI service

ü Scheduling a refresh of the data using the Personal Gateway

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