Data Analytics Course in Bangalore

Data Analytics Course in Bangalore Overview

Enroll in data analytics course in Bangalore and learn analytics tools including Excel, Power BI, SQL, and R programming. With this, you can get job-ready and gain a competitive edge in your analytics career.

Why should I consider starting a career as a data analyst in Bangalore?

Starting a career as a data analyst is profitable due to the growing demand for professionals who can analyze and interpret data. Businesses across sectors rely on data-driven insights for decision-making, creating numerous opportunities for skilled data analysts.

What will you learn in this data analyst course in Bangalore?

In this online data analytics course certification in Bangalore, you will gain in-depth knowledge of the following topics:

Excel
Data wrangling with SQL
Presto (SQL Interface)
Introduction to Data Science and Statistics
Business Problem Solving across different domains
Optimization techniques
Predictive Modeling
Time- Series Forecasting
Feature Engineering
Advanced Machine Learning Techniques
Data Science Execution Strategy
Business Case Studies
Power BI
Data Science Capstone Project

Why become a data analyst in Bangalore?

The average salary for a Data Analyst is ₹7,36500 per year in Bangalore, India. – GlassDoor
28,000+ Data Analyst Jobs in Bengaluru, India – Linkedln

What are the job opportunities for a data analyst in Bangalore?

Job Title	Salary (INR)
Data Analyst	600,000 – 800,000
Business Intelligence Analyst	700,000 – 900,000
Data Scientist	800,000 – 1,000,000
Machine Learning Engineer	900,000 – 1,100,000
Data Engineer	1,000,000 – 1,200,000

What are the latest trends in data analytics in Bangalore?

In Bangalore, current trends in data analytics include the widespread adoption of artificial intelligence, machine learning, and big data technologies. Companies are using analytics for data-driven decision-making, creating a demand for skilled professionals proficient in these advanced analytics tools.

What are the skills required to enroll in this data analytics course in Bangalore?

You do not need to have any prior skills to take this course. Although having some knowledge of statistics, probability, and data analysis before signing up for this course can be helpful.

How are data analysts different from business analysts or data scientists?

Here are a couple of differences between data scientists, data analysts, and business analysts:

In terms of skill set, data analysts analyze the business requirements, while business analysts analyze the historical data and data scientists make decisions based on the given data
Data analysts perform the complete life-cycle of data analysis, whereas business analysts implement, build, analyze, and report the capabilities of the business. Data scientists, on the other hand, perform statistical analysis to build machine learning systems

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What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

Tools to Master

Data Analyst Course Syllabus

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview

Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
Elaborate SQL operators and demonstrate operations such as joins and subqueries
Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation

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Explore Python Programming Language for Data Analysis and Visualization

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Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data

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Applying Essential Concepts of Statistics And Probability

Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals

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Learn Machine Learning Algorithms and Advanced Analytics Techniques

Diving into Core Concepts of Machine Learning

Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
Learn Regression and its types (linear, logistic, and polynomial regression)
Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks

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Examine Performance Metrics in Machine Learning

Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring

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Applying Advanced Techniques in Time Series Forecasting

Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting

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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

Exploring Business Applications, Case Studies, and Capstone Projects

Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
Develop actionable insights from raw, unstructured data to deploy real-world business solutions

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Building Data Analytics Capstone Project

Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
Use evaluation metrics and actionable insights to assess the performance of the optimal solutions

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Explore the Real-Time Business Case Studies

In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps

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Elective

Learn Microsoft Excel for Data Analysis and Visualization

Preview

Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
Explore the methods for ensuring data and file security

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Visualizations using Power BI

Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
Explore real-time applications of DAX in developing reports and dashboards

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Job Readiness Training and Support Program

Learning Job Search Strategies to establish networking and interview skills
Learn how to build an effective resume and manage a LinkedIn profile
Interview Preparation and Mock Interview Sessions Led by Industry Professionals
Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)

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Data Analyst Course in Bangalore Project

Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

Predicting a Flower's Class Using Petal Data

This project will help you predict a flower’s class. By analyzing the data about the petals and their dimensions, we will train a machine-learning model that can accurately predict a flower class by analyzing each petal.

Deploying Data Analytics on Census Dataset

The project uses machine learning techniques, such as supervised and unsupervised algorithms, to analyze and predict whether an individual's annual income is more than INR 50,000 or less based on various input parameters.

Model for Credit Card Fraud Detection

The project will develop a model that will assist in detecting credit card fraud by applying machine learning algorithms, such as supervised, unsupervised, reinforcement learning techniques, neural networks, and random forests.

Identifying Factors in Telecom to Opt for the Pre-paid Model

This project aims to analyze the factors that have the maximum impact on the preferences of pre-paid billing types and identify the highly correlated variables of these impacting factors.

Pokemon Analysis

Choose a Pokemon whose primary type is “grass" and whose secondary type is “poison” with the maximum speed. Using machine learning and data analysis techniques, develop a model that predicts whether the selected Pokemon is legendary or not.

Stock Market Price Analysis

This project will use machine learning to develop a predictive data model for predicting future stock prices. It will also use k-nearest neighbors and linear regression algorithms to analyze current stock market trends.

Comment Identity and Classification

Work on the Yelp comment dataset to deploy a multi-headed model to identify and categorize toxic comments (obscenity, insults, threats, etc.). It must enable the user to find and choose the necessary type.

Book Recommender

This project aims to develop a book recommendation engine based on an individual's past reading and buying history.

Loan Approval Prediction

The project seeks to determine the variables correlated with impacting factors to analyze the likelihood of the loan application being approved or denied. Methods like random forests, decision trees, and logistic regression are used to forecast it.

Netflix Prize Dataset using Recommendation Engine

The recommendation engine is developed using the Netflix prize dataset. It collects data about a user from numerous sources, anticipates their requirement, and recommends movies based on the user’s behavior and choices made earlier.

Data Analyst Course in Bangalore FAQs

What is data analytics?

Data analytics involves examining data sets to draw conclusions and make informed decisions. It utilizes various techniques, tools, and algorithms to extract meaningful insights from data, facilitating business improvement and strategic planning.

What do you mean by data analysis?

Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.

Why choose Intellipaat for the data analytics course in Bangalore?

The data analytics course in Bangalore from Intellipaat, in association with iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), is an industry-designed course to fast-track your career in data analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours coding, then courses on data analytics from Intellipaat are for you.

The online data analytics courses involve the following:

You will work on real-life projects.
You will work on industry-grade assignments with high relevance in the corporate world.
You can apply for the best data analyst and data science jobs at top MNCs.
You will get lifetime access to the course and the course material, along with a lifetime upgrade and 24/7 support.

Will this course help me start my career as a data analyst?

Of course! With the help of our data analytics course, you will gain the fundamental abilities and information needed to start a successful profession as a data analyst. The comprehensive curriculum covers the key aspects of data analysis, ensuring you are well-prepared for real-world challenges in the field.

What are the other data analyst courses Intellipaat offers in Bangalore?

Some of the best courses are Big Data, Data Science Certification, Machine Learning, Artificial Intelligence, Python, Python for Data Science, and Business Analytics Course.

Does Intellipaat provide any free data analytics resources?

If you are looking for free resources on data analytics, then read our blogs on data analytics tutorials and data interview questions, and also visit our Youtube channel for free videos.

What is the difference between data analysis, data analytics, and data analyst?

Data Analytics: Data analytics involves discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.

Data Analysis: Data analysis is a subset of the broader field of data analytics. Data analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.

Data Analysts: Data analysts are those professionals who draw meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.

What are the qualifications for becoming a data analyst in Bangalore?

To become a data analyst, you must have the following qualifications:

For entry-level jobs, you need to have a Bachelor’s degree.
For higher-level positions jobs, you must have a Master’s degree.
You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Data Science with Python.

Can I become a data analyst without a college degree?

Having a college degree in the fields of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement for becoming a data analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in data science training courses can help you immensely; however, it is still a secondary requirement.

Where does Intellipaat provide Data Analytics Course near me in Bangalore with placement?

Intellipaat offers Data Analytics Course in Bangalore on different locations mentioned below-

Area	Postal Code
Ammrutha Halli	560092
Maruthi Seva Nagar	560033
Kuvempu Layout	560077
Bellandur	560103
Jayanagar III Block	560011
Anandnagar	560024
Nandinilayout	560096
B SK II Stage	560070
Indiranagar	560038
Yelahanka	560063
Chickpet	560053
Domlur	560071
Bansashankari III Stage	560085
Vimanapura	560017
Nagarbhavi	560072
Basaveshwaranagar	560079
Bommanahalli	560068
Mico Layout	560076
Electronic City	560100
Taverekere	560029
Nehru Nagar	560020
Agram	560007
Halsuru Pete	560002
Basavanagudi	560004
R.M.V. Extension II	560094
Jayanagar	560041
Carmelaram	560035
New Thippasandra	560075
Kanakanagar	560032
Nayandahalli	560039
Fraser Town	560005
Jalahalli East	560014
Kacharakanahalli	560084
Malleswaram West	560055
Bannerghatta	560083
Srirampuram	560021
Rajarajeshwarinagar	560098
Sivan Chetty Gardens	560042
Dommasandra	562125
Whitefield	560066
Vidyaranyapura	560097
Bolare	560082
Mathikere	560054
Doddanekkundi	560037
Hampinnagar	560104
C.V.Raman Nagar	560093
Chikkabanavara	560090
Attur	560064
Kumbalagodu	560074
Bhattarahalli	560049
Chikkalasandra	560061
Sharada Nagar	560065
Jalahalli West	560015
H.K.P Road	560051
Jp Nagar III Phase	560078
Sadashiva Nagar	560080
Krishnarajapuram R S	560016
Mahalakshipuram Layout	560086
Guddadahalli	560026
Chudenapura	560060
Vidhana Soudha	560001
Shanthinagar	560027
Rajaji Nagar	560010
Chandapura	560099
Ramakrishna Hegde Nagar	560045
Shalabh Bhatnagar	560012
Peenya	560058
Ashoknagar	560050
Jalahalli Nacen	560013
Banawadi	560043
Malleswaram	560003
Doddakallasandra	560062
K.G Road	560009
Muthusandra	560087
Marathahalli	560056
JC Nagar	560006
Chamrajpet	560018
HSR Layout	560102
Devanagundi	560067
Yeswanthpura	560022
Mahadevapura	560048
Hulsur Bazaar	560008
Magadi Road	560023
Adugodi	560030
Bagalgunte	560073
Devasandra	560036
Rv Niketan	560059
Narasimharaja Colony	560019
Koramangala VI Bk	560095
Agara	560034
Vijayanagar East	560040
Benson Town	560046
Viveknagar S.O	560047
Dasarahalli	560057
Bapagrama	560091
Richmond Town	560025

Data Analytics Course in Bangalore

Rated #1 Data Analyst Course by Economic Times

Data Analyst Course Key Features