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Become a Data Analyst by mastering Data Analysis tools and techniques with our Data Analytics Course in Bangalore.
Course 1
SQL
Course 2
Python
Course 3
Statistics And Probability
Course 4
Machine Learning
Course 5
Performance Metrics
Course 6
Time Series Forecasting
Course 7
Business Problem Solving Insights and Storytelling
Course 8
Data Modeling
Course 9
Data Analytics Capstone Project
Course 10
Business Case Studies
Course 11
Microsoft Excel
Course 12
Visualizations using PowerBI
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.
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.
In this online data analytics course certification in Bangalore, you will gain in-depth knowledge of the following topics:
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 |
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.
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.
Here are a couple of differences between data scientists, data analysts, and business analysts:
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Create predictive models like churn likelihood, and customer lifetime value, and help the team implement these models accordingly.
Develop models concerning the numerous cost components that power the various margin awareness initiatives.
Maintain the specifications of data engineering and meet the objectives of online data visualization platforms, such as Alteryx and Tableau.
Build attractive, interactive, and intuitive data visualizations, including reports, graphs, presentations, and dashboards.
Identify, build, and execute the techniques of Data Analysis to allow the team to make significant impacts on the business.
Generate detailed reports and dashboards of high quality, and give presentations.
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
PowerBI
Advanced Statistics
Data Mining
R Programming
Case Study
Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
Data Manipulation with Numpy, Pandas, and Visualization – Using large datasets, you will learn about various techniques and processes that will convert raw unstructured data into actionable insights for further computations i.e. machine learning models, etc.
Case Study – The culmination of all the above concepts with real-world problem statements for better understanding.
Descriptive Statistics
Probability
Inferential Advanced Statistics (by Academic Facutly)
Case Study
This case study will cover the following concepts:
Introduction to Machine learning
Regression
Classification
Clustering
Supervised Learning
Unsupervised Learning
Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.
Business Domains – Learn about various business domains and understand how one differs from the other.
Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
Exploratory Data Analysis to Gather insights – Learn about the exploratory data analysis and how it enables a fool proof producer of actionable insights.
Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in simple relatable format that makes it easier to understand and recall.
Case Study
This case study will cover the following concepts:
Feature Selection – Feature selection techniques in python that includes recursive feature elimination, Recursive feature elimination using cross validation, variance threshold, etc.
Feature Engineering – Feature engineering techniques that help in reducing the best features to use for data modeling.
Model Tuning – Optimization techniques like hyperparameter tuning to increase the efficiency of the machine learning models.
Problem Statement and Project Objectives – You will learn how to formulate various problem statements and understand the business objective of any problem statement that comes as a requirement.
Approach for the Solution – Creating various statistical insights based solutions to approach the problem will guide your learnings to finish a project from scratch.
Optimum Solutions – Formulating actionable insights backed by statistical evidence will help you find the most effective solution for your problem statements.
Evaluation Metrics – You will be able to apply various evaluation metrics to your project/solution. It will validate your approach and point towards shortcomings backed by insights, if any.
Gathering Actionable insights – You will learn about how a problem’s solution isn’t just creating a machine learning model, the insights that were gained from your analysis should be presentable in the form of actionable insights to capitalize on the solutions formulated for the problem statement.
Customer Churn – The case study involves studying the customer data for a given XYZ company, and using statistical tests and predictive modeling, we will gather insights to efficiently create an action plan for the same.
Sales Forecasting – By studying the various patterns and sales data for a firm/store, we will use the time series forecasting method to forecast the number of sales for the next given time period(weeks, months, years, etc.)
Census – After studying the population data, we will gather insights and through predictive modeling try to create actionable insights on the same, it could be average income of an individual, or most likely profession, etc.
Predictive Modeling – Various case studies on categorical and continuous data, to create predictive models that will predict specific outcomes based on the business problems.
HR Analytics – Based on the data provided by a firm, we will study the HR analytics data, and create actionable insights using various statistical tests and hypothesis testing.
Dimensionality Reduction – To understand the impact of multidimensional data, we will go through various dimensionality reduction techniques and optimize the computational time on the same that will eventually be used for various classification and regression problems.
Housing – A case study that will give you insight into how real estate firms can narrow down on the pricing, customer choices, etc. using various predictive modeling techniques.
Customer Segmentation – Using unsupervised learning techniques, we will learn about customer segmentation, which can be quite useful for e-commerce sectors, stores, marketing funnels, etc.
Inventory Management – In this case study, you will learn about how meaningful insights can be used to drive a supply chain, using predictive modeling and clustering techniques.
Disease Prediction – A medical endeavor that is achieved through machine learning will give you an insight into how the predictive model can prove to be a great marvel in early detection of various diseases.
Excel Fundamentals
Excel For Data Analytics
Data Visualization with Excel
Ensuring Data and File Security
Getting started with VBA Macros
Statistics with Excel
Power BI Basics
DAX
Data Visualization with Analytics
Case Study:
This case study will cover the following concepts:
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.
55% Average Salary Hike
$1,22,000 Highest Salary
10000+ Career Transitions
300+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Our data analyst course in Bangalore are created by IIT professors and experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.
You will receive the data analytics certification from Intellipaat and iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee). Along with that, you will also be able to clear the following certifications:
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.
Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.
Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners, including top start-ups and product companies, are hiring our learners. Mentored support on job search and relevant jobs for your career growth.
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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.
Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.
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:
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.
Some of the best courses are Big Data, Data Science Certification, Machine Learning, Artificial Intelligence, Python, Python for Data Science, and Business Analytics Course.
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.
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.
To become a data analyst, you must have the following qualifications:
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.
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.
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 |
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat offers learners the most updated, relevant, and high-value real-world projects in the respective training program. In this way, aspiring candidates can apply the knowledge they have gained in real-world industry settings. Each training includes multiple projects that extensively assess your skills, learning, and practical knowledge, ensuring you are industry-ready.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500 top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, and other renowned brands.
Learners are required to submit the mandatory assignments, project work, and quizzes to receive the Intellipaat-verified certificates.
Apparently, no. Our goal with job assistance is to get you into the career of your dreams. It gives you opportunities to explore various competitive positions in the corporate world and find a well-paid job, matching your profile. The recruiters requirements and your performance during the interview will always be taken into consideration when making the hiring choice.
Bangalore, often known as the ‘Silicon Valley of India’ or the ‘Garden City,’ is a bustling city in southern India. Geographically, it is situated in the southeastern part of the state of Karnataka.
The city enjoys a moderate climate, with relatively mild summers, monsoon rains, and cool winters. Summers are warm, with temperatures typically reaching around 35°C (95°F), while monsoons bring refreshing rainfall. Winters are pleasant, with temperatures ranging from 10°C to 20°C (50°F to 68°F).
Bangalore is renowned for its growing IT industry, earning it the title of India’s technology capital. It is also a prominent center for education and research, making it a dynamic hub for innovation and knowledge.
Some highlights of the city include:
Data Analytics Course in Bangalore. Address – 6th Floor, Primeco Towers, Arekere Gate Junction, Bannerghatta Main Road, Bengaluru, Karnataka – 560068, India. Call Us: +91-7022374614