The Data Analyst Master’s Program in Bangalore is prepared by top industry experts. In this, our teachers will help you learn the principles of analytics. With this course, you will become efficient in statistical analysis, Python, exploratory analysis, and data visualization with Tableau.
The course includes several topics, such as Microsoft Power BI, which develops your skills and helps you become an expert data analyst.
GoLogica Academic's Master Program features a structured curriculum, paving the way to Global scope.
Industry Experience
GoLogica having a 15+ years of experience on career transforming programs with industrial oriented Skills.
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Hands-on Experience
GoLogica emphasizes practical learning with exercises, projects to equip you with real world application.
Learners Achievement
Maximum Salary Hike
150%
Average Salary Hike
75%
Haring Partners
2000+
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Data Analyst Program Details
Data analysis is the process of gathering, processing, and performing statistical analysis on large data sets to find useful data and support decision-making.
Data Analysts gather, clean, and evaluate data to find insights and help make business decisions. They use data visualization techniques and statistical tools to see patterns and trends, showcase their findings in dashboards and reports.
They play a significant role in companies as they have to ensure data accuracy, create visualization, and conduct statistical analyses to communicate findings effectively. The data analysts use statistical techniques and tools to discover and analyze data, find patterns, trends, and relationships. They prepare visual representations of the data findings via several methods. The methods are graphs, dashboards, and charts to make the data logical.
GoLogica Data Analyst Master’s Program in Bangalore is an organized learning path suggested by industry experts. The course helps you become an expert Data Analytics professional. Our teachers will help you learn to use tools like Power BI, Python, and Tableau.
From this course, you will learn key analytical skills and tools. The tools are SQL, spreadsheets, R and more, and the skills are data cleaning, analysis, and visualization.
The course syllabus is:
Python Programming Certification Course
Statistics Essentials for Analytics
AWS Data Analytics Course
Microsoft Power BI Certification Training Course
Tableau Certification Training Course
Data Analytics with R Programming Certification Training.
Anyone can join this course. The course is for freshers and experienced professionals working in the IT sector. Our Data Analyst certification course includes self-paced and instructor-led training. This allows the students to learn skills independently and get guidance from industry experts.
The duration of this Data Analyst Master’s Program in Bangalore is 15 weeks. However, it might vary for every individual.
Once you join this course, you will get lifetime and immediate access to all the courses given in this program. We provide guidance for preparing interviews and creating resumes.
After completing this certification program, you can access several job opportunities based on your skills and specific interests. It includes Data Analyst, Business Analyst, Market Research Analyst, Financial Analyst, and more.
Data analytics skills are becoming the most demanded skills across several industries.With this, you will get job opportunities in various fields such as Healthcare, Marketing, Technology, and Finance.
Top companies like Bain & Company, PwC, Morgan Stanley, IBM, Accenture, McKinsey & Company, Wells Fargo, Deloitte, Oracle, EY, Citibank, etc. are hiring certified and expert data analysts.
Are you excited about this?
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
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
Program Fee
Program Fee: 76000 /-
68400 /-
Discount: 7600
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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.
