Learn Data Analyst Master’s Program in Mumbai

Data Analyst Program Details

GoLogica Data Analyst Master’s Program in Mumbai is a complete course that enables you to understand, interpret, and present data in the right way. The program begins with an introduction to data analysis tools such as Excel, SQL, PANDAS & NumPy, Python, and Tableau.

The program covers important topics like data preprocessing, data visualization, statistics, and business analytics. As part of the program, you will work on real-life projects to learn how to manage big data, comprehend patterns, and prepare recommendations that can assist organizations in making the right choices.

This program is grounded in practical experience as the best way towards development. You will engage in case studies and business exercises that replicate the jobs of a data analyst in the real world. This practical approach enables you to prepare for the market upon the completion of the course to enable the application of the skills learned in the course.

By the time you complete this master’s program, you’ll have developed a collection of data analysis that shows you have the readiness to tackle the difficult data problems that come with today’s data analytical roles.

Whether you are a fresher or an experienced candidate aspiring for a Data Analyst profile, this program covers all that is required to start your career or to take your career to the next level. Since the field of data analytics is expanding, this program by GoLogica will prepare you for a successful career in Mumbai.

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Data Analyst Syllabus

Oracle SQL

GoLogica's Oracle SQL training provides comprehensive instruction in SQL, covering database management, data manipulation, and more. Gain hands-on experience in this essential database language with expert-led training and advance your career with GoLogica.

WEEK 1-3 25 Hours LIVE CLASS

What is SQL and how it Process and different SQL Commands like
DDL - Data Definition Language
DML - Data Manipulation Language
DCL - Data Control Language
DQL - Data Query Language examples

Welcome across different types of SQL Syntax like SELECT Statement
DISTINCT Clause
WHERE Clause
AND/OR Clause
IN Clause
BETWEEN Clause
Like Clause
ORDER BY Clause
GROUP BY Clause
COUNT Clause
HAVING Clause and to create table using syntax
CREATE TABLE Statement
DROP TABLE Statement
Creating INDEX Statement
Dropping INDEX Statement
DESC Statement
TRUNCATE TABLE Statement
Modifying table using ALTER TABLE Statement:
ALTER TABLE Statement (Rename)
INSERT INTO Statement
UPDATE Statement
DELETE Statement
CREATE DATABASE Statement
DROP DATABASE Statement
USE Statement
COMMIT Statement and ROLLBACK Statement

SQL have a different data type such as Exact Numeric Data Types
Date and Time Data Types
Character Strings Data Types
Unicode Character Strings Data Types
Binary Data Types
Misc Data Types

Different Operators & Expressions in SQL Arithmetic Operators
Comparison Operators
Logical Operators
Expressions are Boolean Expressions
Numeric Expression
Date Expressions
CREATE Table
DROP or DELETE Table

SQL have different constraints NOT NULL Constraint
DEFAULT Constraint
Drop Default Constraint
UNIQUE Constraint
DROP a UNIQUE Constraint
PRIMARY Key
Create Primary Key
Delete Primary Key
FOREIGN Key
DROP a FOREIGN KEY Constraint
CHECK Constraint
DROP a CHECK Constraint
INDEX
DROP an INDEX Constraint
Dropping Constraints
Integrity Constraints

Types of Join in sql INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL JOIN
SELF JOIN
CARTESIAN JOIN
Unions Clause
The UNION ALL Clause
NULL Values
Alias Syntax

Who to create Index using INDEX Command
Single-Column Indexes
Unique Indexes
Composite Indexes
Implicit Indexes
How to DROP INDEX Command
When should indexes be avoided? ALTER TABLE Command Syntax
TRUNCATE TABLE Syntax

How to create Views the WITH CHECK OPTION
Updating a View Inserting Rows into a View
Deleting Rows into a View
Dropping Views HAVING CLAUSE

Different Properties of Transactions
Transaction Control
The COMMIT Command
The ROLLBACK Command
The SAVEPOINT Command
The RELEASE SAVEPOINT Command
The SET TRANSACTION Command

The Different SQL Wildcard Operators
Date Function
Temporary Tables
Dropping Temporary Tables

How to create Sub Queries in SQL Statements
Sub queries with the SELECT Statement
Sub queries with the INSERT Statement
Sub queries with the UPDATE Statement
Sub queries with the DELETE Statement

Using AUTO_INCREMENT column
Obtain AUTO_INCREMENT Values
Handling Duplicates

Tableau

GoLogica's Tableau Training helps you master data visualization and business intelligence with Tableau. Our comprehensive training program covers all the essential topics, including data connections, calculations, dashboards, and more. Enroll now and learn from industry experts!

WEEK 13-17 32 Hours LIVE CLASS

Why Tableau
Things you should know about Tableau
Product Line
Different level of Setting Terminology
Creating some powerful visualizations quickly

Connecting to Data and introduction to data source concept
Working with data files versus database server
Understanding the Tableau workspace
Dimensions and Measures
Tour of Shelves (How shelves and marks work)
Help Menu and Samples
Saving and sharing your work Building Basic Views

Creating Views
Marks
Size and Transparency
Highlighting
Date aggregations and date parts
Discrete versus Continuous
Dual Axis / Multiple Measures
Combo Charts with different mark types
Geographic Map Page Trails
Heat Map
Density Chart
Scatter Plots
Aggregation and Disaggregation data
Pie and Bar Charts
Analyzing
Sorting & Grouping
Aliases
Filtering and Quick Filters
Cross-Tabs (Pivot Tables)
Totals and Subtotals Drilling and Drill Through
Small Multiples
Percent of Total
Working with Statistics and Trend lines.

Basic Arithmetic Calculations
Date Math
Working with Totals
String Functions
Custom Aggregations
Logic Statements

Formatting your Visualization
Effective Titles and Captions
Introduction to Visual Best Practices
Working with Labels and Annotations

Multiple visualizations into a dashboard
An Introduction to Best Practices in Visualization
Making your worksheet interactive by using actions and filters.

Packaged Workbooks
Publish to Office
Reader
PDF
Tableau Server and Sharing over the Web

Scenario-based Review Exercises
Best Practices.

Data Types
Dimension vs Measures
Discrete vs Continuous
Application of Discrete and Continuous Fields
Rename Hide Unhide and Sort Columns
Default Properties of Fields
Create Aliases
Recap
Knowledge Check

Data Analyst Master’s Capstone

Learn GoLogica's Data Analyst Master Training—it's interactive and perfect for the real world. You get support all the time, learn practical things from industry experts, and choose when you want to have classes. Our experienced professionals will guide you, and you can access study materials for free.

WEEK 23-24 8 Hours LIVE CLASS

Business Analytics with Excel

GoLogica's Business Analytics with Excel course goes beyond the basics and explores advanced features of Microsoft Excel. Study how to analyze large sets of data, make decisions based on them, generate impactful visualizations, and unlock important business information.

WEEK 4-6 24 Hours LIVE CLASS

What is Business Analytics?
What is MS Excel?
Features of MS Excel
Basic Worksheet Modelling
Range Names

Lookup Functions
INDEX Function
MATCH Function
Text Functions
NPV and XNPV Functions
IRR, XIRR, and MIRR Functions
More Excel Financial Functions
IF, IFERROR, IFS, CHOOSE, and SWITCH Functions
COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions
SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS Functions
OFFSET Function
INDIRECT Function

Using Solver to Determine the Optimal Product Mix
Using Solver to Schedule Your Workforce
Using Solver to Solve Transportation or Distribution Problems
Using Solver for Capital Budgeting
Using Solver for Financial Planning
Using Solver to Rate Sports Teams

Importing Data from a Text File or Document
Geography and Stock Data Types
Validating Data
Summarizing Data by Using Histograms and Pareto Charts
Summarizing Data by Using Descriptive Statistics
Using Pivot Tables and Slicers to Describe Data
Data Model
Summarizing Data with Database Statistical Functions
Consolidating Data

An Introduction to Random Variables
Binomial, Hyper geometric, and Binomial Random Variables
Poisson and Exponential Random Variable
Normal Random Variable and Z-Scores
Using the Lognormal Random Variable to Model Stock Prices

Programming Basics and Data Analytics with Python

Programming Basics and Data Analytics with Python is a complete course offered by GoLogica. Learn the fundamentals of programming and data analytics using Python. Gain skills in programming fundamentals, data manipulation, statistical analysis, and data visualization.

WEEK 8-10 20 Hours LIVE CLASS

Programming Basics and Data Analytics with Python Training

Leveraging Python for advanced data analytics
Setting up for Python programming
Data structures in Python

Introduction to Pandas
Data structures in Pandas
Advanced data operations in Pandas

Introduction to data processing using Python
Data ingestion using Python
Data wrangling using Python
Reshaping data sets using Python

Fundamentals of data visualisation
Customising and enhancing charts in Seaborn

Data Analytics with R

GoLogica's Data Analytics with R class helps you learn R programming so that you can do powerful data analysis. Take part in live classes, work on real projects, and better your job with data analysis. Sign up now to learn by doing and get a certification known all over the world.

WEEK 11-13 40 Hours LIVE CLASS

Introduction to terms Business Intelligence, Business Analytics, Data, Information
How information hierarchy can be improved / introduced
Understanding Business Analytics and R
Knowledge about the R language, its community, and its ecosystem
Understand the use of 'R' in the industry
Compare R with other software in analytics
Install R and the packages useful for the course
Perform basic operations in R using the command line
Learn the use of IDE R Studio and Various GUI
Use the ‘R help’ feature in R

Various kinds of data types in R and their appropriate uses
Built-in functions in R like seq(), cbind (), rbind(), merge()
Knowledge of the various subsetting methods
Summarize data by using functions like: str(), class(), length(), nrow(), ncol()
Use of functions like head(), tail() for inspecting data
Indulge in a class activity to summarize data
dplyr package to perform SQL join in R

Steps involved in Data Cleaning
Functions used in Data Inspection
Tackling the problems faced during Data Cleaning
Uses of the functions like grepl(), grep(), sub(), Coerce the data, uses of the apply() functions

Import data from spreadsheets and text files into R
Import data from other statistical formats like sas7bdat and spss, packages
Installation used for database import
Connect to RDBMS from R using ODBC
Basic SQL queries in R
Basics of Web Scraping

Exploratory Data Analysis(EDA)
Implementation of EDA on various datasets
Boxplots
Understanding the cor() in R
EDA functions like summarize(), llist()
Multiple packages in R for data analysis
Fancy plots like the Segment plot, and HC plot in R

Data Visualization
Graphical functions present in R
Plot various graphs like tableplot, histogram, and Boxplot
Customizing Graphical Parameters to improvise plots
Understanding GUIs like Deducer and R Commander
Introduction to Spatial Analysis

Introduction to Data Mining
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms
K-means Clustering

Association Rule Mining
User Based Collaborative Filtering (UBCF)
Item Based Collaborative Filtering (IBCF)

Linear Regression
Logistic Regression

Analysis of Variance (Anova) Technique
Sentiment Analysis: fetch, extract and mine live data

Decision Tree
Entropy
Gini Index
Pruning and Information Gain
Algorithm for creating Decision Trees
Bagging of Regression and Classification Trees
Random Forest
Working on Random Forest
Features of Random Forest, among others

R Programming

Learn data science with GoLogica's R Programming course. Learn the basics of R and then move on to advanced machine learning. This complete training gets you ready for a successful career in data science. Join now to get hands-on experience and earn a certification recognized worldwide.

WEEK 18-22 40 Hours LIVE CLASS

To become a master in Data Analyst?

Skills Covered

Tools Covered

Career Support

Personalized Industry Session

This will help you to better understand the Data Analyst industry.

High-Performance Coaching

you will be able to grow your career by broadening your proficiency in Data Analyst.

Career Mentorship Sessions

With this, the students will be able to decide their careers in the right way.

Interview Preparation

We Help with face-to-face interaction through mock interviews & Exams

Data Analyst Masters Program career support

Program Fee

Program Fee: 76000 /-

68400 /-

Discount: 7600

Paypal

Debit/Credit

UPI

Data Analyst Certification

GoLogica Data Analyst Certification holds accreditation from major global companies worldwide. Upon completion of both theoretical and practical sessions, we offer certification to both freshers and corporate trainees. Our certification on Data Analyst is recognized globally through GoLogica, significantly enhances the value of your resume, opening doors to prominent job positions within leading MNCs. Attainment of this certification is contingent upon the successful completion of our training program and practical projects.

Job Outlook

Personalized Industry Session

The U.S. Bureau of Labor Statistics forecasts a 25% increase in employment for information security analysts from 2020 to 2030, significantly outpacing the average for all occupations. Additionally, Data Analysts Ventures predicts 3.5 million unfilled Data Analysts jobs worldwide by 2025.

High-Performance Coaching

According to the BLS, Data Analysts professionals are well-compensated. The median annual wage for information Data Analysts Specialist was $ $60,000 to $70,000 PA It’s depending on factors such as experience, location, and specific job responsibilities

Job Titles

Are you preparing for a interview? If yes, our expert tutors will help you with this.

Data Analyst
Business Analyst
Quantitative Analyst
Market Research Analyst

Data Analyst Faq’s

Data Analytics is the process of gathering, transformation, and organization of data to make predictions, draw conclusions, and make informed decision making.

We suggest taking courses in a specific order given in the learning path.

You can finish this course at your convenience. It's because it depends on how fast an individual learn.

Once you complete the course successfully, we will provide the certificate.

• Data Scientist. • Data Analyst. • Business Analyst. • Data Manager. • Data Engineer. • Data Architect. • Machine Learning Engineer. • Software Engineer

Yes! You have to learn R and Python programming languages.

Data analysts make use of numbers and data to help companies make best business decisions. They prepare, process, evaluate, and visualize data, identify patterns & trends, and provide answers to key queries. This helps the company authority to make correct business decisions.

This course is good for individuals with programming and non-programming backgrounds. However, it would be good if you have a basic knowledge of certain programming languages. It includes Java, R, SQL, or Python.

Having basic problem-solving skills and mathematical knowledge is sufficient.

The Data Analysis process includes collecting, cleaning, modeling, organizing, and visualizing data. Its main aim is to extract helpful insights for making perfect decisions.

For this, you must have a detailed understanding of Python or R programming languages, SQL, regression, data visualization methods, statistics, etc. It would be better to join the Data Analysis Master’s Program by GoLogica.

Yes! Having Excel skills will help you evaluate and manipulate data efficiently.

• Finance.
• Healthcare.
• Entertainment.
• Technology.
and many more.

Once you join the course, we will provide you with the relevant study materials.

Data Analytics Made Accessible: 2020 Edition.

• Business Analytics with Excel
• Programming Basics & Data Analytics with Python
• Data Analytics with R
• SQL
• Tableau Training
• R programming for Data Science
• PowerBI and more

Yes! Our certification course includes R and Python programming languages.

Nothing! This program is for freshers and professionals.

Data Analyst Master’s Program in Mumbai, IN

26th Nov 2024

11 Months

Online Bootcamp

Why Join this Program?

GoLogica Acadamic

Industry Experience

Latest AI Trends

Hands-on Experience

Learners Achievement

Maximum Salary Hike

150%

Average Salary Hike

75%

Haring Partners

2000+

Our Alumini

Data Analyst Program Details

Are you excited about this? Get in Touch

Data Analyst Syllabus

Oracle SQL

WEEK 1-3 25 Hours LIVE CLASS

Course Content

SQL Overview

SQL Syntax

Data Types

Operators & Expressions

Constraints

SQL Joins

Indexes

Using Views

Transactions

Wildcard Operators

Sub Queries

Using Sequences

Tableau

WEEK 13-17 32 Hours LIVE CLASS

Course Content

Introduction and Overview

Get Started

Analysis

Getting Started with Calculated Fields

Formatting

Building Interactive Dashboard

Sharing Workbooks

Putting it all together

Working with Metadata

Data Analyst Master’s Capstone

WEEK 23-24 8 Hours LIVE CLASS

Course Content

Learn about capstone basics

Data Collection

Data Wrangling

Exploratory Data Analysis

Data Visualization

Building A Dashboard

Final Assignment: Present Your Findings

Business Analytics with Excel

WEEK 4-6 24 Hours LIVE CLASS

Course Content

Introduction to MS Excel

Functions

Using Solver

Data in Excel

Introduction to Variables

Programming Basics and Data Analytics with Python

WEEK 8-10 20 Hours LIVE CLASS

Course Content

Basics of Python programming

Python library: Pandas

Data ingestion and wrangling using Python

Data visualisation using Python

Data Analytics with R

WEEK 11-13 40 Hours LIVE CLASS

Course Content

Introduction to Data Analytics

Introduction to R Programming

Data Manipulation in R

Data Import Techniques in R

Exploratory Data Analysis

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To become a master in Data Analyst?