Certificate Program on Business Analytics
- 148 Hours of Intensive Classroom & Online Sessions
- 16 Hour of Self-paced R program videos
- 16 Hour of Self-paced Excel with ChatGPT videos
- Job Placement Assistance
513 Reviews
12,749 Learners
Academic Partners & International Accreditations
"Business Analyst is the fastest growing profile with demand anticipated to see a surge of 28% by the year 2020." - (Source). Successful businesses depend on business analysts who explore an organizations' data and implement statistical analysis to derive decision making. Among the many reasons for the increase in the demand for a Business Analyst is that their jobs cannot be automated. Secondly, with 70% of companies moving to digital platforms, a business analyst facilitates this digital transformation by designing information systems and executing digital initiatives. He is also responsible for implementing new business processes by cutting down expenses on operating costs, and enhancing efficiency and productivity of existing business processes. This allows the companies to perform competitively in the local as well as the global markets.
Course Fee
Business Analytics Course Training Overview
Master data-driven analytics with our Certification Program in Business Analytics. Employ Machine Learning, Neural Network algorithms and Predictive Analytics for faster decision making. Empower your business decisions with the precision of Big Data Analytics and statistics. Enable effective data visualization with Tableau. The goal of this Business Analytics course is to assist learners who are professionals in their own right in developing skills in analytics so that they may be more productive to their organizations. The Professional Certification in Business Analytics is a foundation course for students and professionals who want to develop niche data skills for their chosen industry domain or function area. Become a Business Intelligence and Data Visualisation expert and surge ahead in your career.
The Business Analytics certification course covers all the essential Analytical and Statistical techniques for effective business decision making. This programme introduces the student to the basic concepts of Python language. The course has been constructed keeping in mind the market trend in this field and has been designed by none other than the trainers who are alumni of IITs, IIMs and ISB. They have used creative methods to achieve the learning outcomes and have designed a comprehensive curriculum, to help you develop an in-depth understanding of the subject. The course on Business Analytics in India promises a good return on your investment.
What is Business Analytics?
Business analytics is developing new business insights using statistics and data modeling. It involves analyzing data using business intelligence tools to make future predictions using data from the business’s past performance. For example, a chain of schools may use the data collected to predict the best location to open their next branch. Many big organizations and businesses are using Business analytics because of its data-driven approach to the world of business. Data is like a lifeline for data-driven companies who extensively depend on their data quality and skilled analysts. A business analyst understands this technology and actively looks for ways to turn the data into a competitive advantage by gaining insights that inform better business decisions.
Business Analytics Training Learning Outcomes
Business Analysts are the mainspring behind the new-age businesses that have adopted a data-driven approach to making more informed decisions and solving business problems. Business Analytics uses various tools and techniques like data extraction, data depiction, and analytical modelling to make the most of the data which is available to us at the click of a button. It is estimated that Data creation will reach 164 zettabytes by 2025, and so will the demand for business analysis professionals who are experts in deriving meaningful insights from Big Data. The course on Business Analytics, India aims to provide a comprehensive study that enables you to work with various data generation sources, create business reports, dashboards, stories, maps, etc. to draw meaningful business insights and effectively communicate business strategies. Learn to apply descriptive, predictive, and prescriptive analytics to develop an understanding to solve a business problem and to build prediction models for day-to-day applicability. This course also allows you to use Data Visualization concepts to represent and interpret data and work on projects and tasks that are based on real-life case studies. The aim of this program is to provide students with professional education in the field of Business Analytics so as to enable them to understand and critically analyze unstructured business problems. They will also learn to provide solutions using the language, theory and models of Analytics. Furthermore, they will also
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Business Analytics Course Modules
The Business Analytics course in India is designed to empower you with essential techniques, tools, and skills you will need to excel in this field. The aim of this module is to build your understanding and capabilities in designing, structuring, and analyzing data. The module on business analytics will cover Hypothesis testing, Linear regression, Black Box techniques, Data Mining and many more to demonstrate familiarity with analytical tools. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc. used for discrete data.
- Introduction to Python Programming
- Installation of Python & Associated Packages
- Graphical User Interface
- Installation of Anaconda Python
- Setting Up Python Environment
- Data Types
- Operators in Python
- Arithmetic operators
- Relational operators
- Logical operators
- Assignment operators
- Bitwise operators
- Membership operators
- Identity operators
- Data structures
- Vectors
- Matrix
- Arrays
- Lists
- Tuple
- Sets
- String Representation
- Arithmetic Operators
- Boolean Values
- Dictionary
- Conditional Statements
- if statement
- if - else statement
- if - elif statement
- Nest if-else
- Multiple if
- Switch
- Loops
- While loop
- For loop
- Range()
- Iterator and generator Introduction
- For – else
- Break
- Functions
- Purpose of a function
- Defining a function
- Calling a function
- Function parameter passing
- Formal arguments
- Actual arguments
- Positional arguments
- Keyword arguments
- Variable arguments
- Variable keyword arguments
- Use-Case *args, **kwargs
- Function call stack
- Locals()
- Globals()
- Stackframe
- Modules
- Python Code Files
- Importing functions from another file
- __name__: Preventing unwanted code execution
- Importing from a folder
- Folders Vs Packages
- __init__.py
- Namespace
- __all__
- Import *
- Recursive imports
- File Handling
- Exception Handling
- Regular expressions
- Oops concepts
- Classes and Objects
- Inheritance and Polymorphism
- Multi-Threading
- List Comprehensions
- List comprehension
- Dictionary comprehension
- Enumerate
- Zip and unzip
- Generator Expressions
- Tuples – Nested, Names, Unpacking
- Splitting – Slicing Objects, Ellipsis
- Augmented Assignments with Sequences
- Build-in Sort Functions
- Ordered Sequences with Bisect
- Arrays, Memory Views, Deques
- Handling Missing Keys
- Set Theory, Variations, Operations
- Higher-Order Functions
- Function Annotations
- Functional Programming Packages
- Procedural vs Functional
- Pure functions
- Map()
- Reduce()
- Filter()
- Lambdas
- Loop vs Comprehension vs Map
- Identify, Equality & References
- MySQL db Module
- INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations on SQL using Python
- Python Packages
- Pandas – Series, Dataframes
- Numpy – Arrays, Memory, Matrices, Broadcasting, Masked Arrays
- Scipy
- Matplotlib
- Seaborn
- Sklearn (Scikit Learn)
- Statsmodels
- Jupyter Notebooks, IPython Notebooks
- Data Collection using CSV, JSON, XML, HTML & Scrapping
- Data Wrangling
- Understanding
- Filtering
- Typecasting
- Transformations & Normalization
- Imputation
- Handling Duplicates & Categorical Data
- Data Summarization
- Data Visualizations using Python Packages
- Line Chart
- Bar Chart
- Histogram
- Pie Charts
- Box Plots
- Scatter Plots
- Figures & Subplots
- Additional Visualization Packages – bokeh, ggplot, plotly
- Python XML and JSON parsers
- Basic Images Processing using Python OpenCV
- Dates and Times
- Binary Data
- Pythonic Programming
- Exception Handling
- Purpose of Exception Handling
- Try block
- Except block
- Else block
- Finally block
- Built-in exceptions
- Order of ‘except’ statements
- Exception - mother of all exceptions
- Writing Custom exceptions
- Stack Unwinding
- Enhancing Classes
- Metaprogramming
- Developer Tools
- Unit Testing with PyTest
- Multi-Threading
- Program Memory Layout
- Concurrency
- Parallelism
- Process
- Thread of execution
- Creating a thread
- Joining a thread
- Critical section
- Locks
- PyQt
- Network Programming
- Scripting for System Administration
- Serializing
- Advanced-Data Handling
- Implementing Concurrency
- Asynchronous programming
- The asyncio framework
- Reactive programming
- Parallel Processing
- Introduction to parallel programming
- Using multiple processes
- Parallel Cython with OpenMP
- Automatic parallelism
- Introduction to Concurrent and Parallel Programming
- Technical requirements
- What is concurrency?
- Not everything should be made concurrent
- The history, present, and future of concurrency
- A brief overview of mastering concurrency in Python
- Setting up your Python environment
- Django with REST Webservices
- Client-Server architecture
- Web Application
- Web framework
- Installing Django modules
- Creating first basic Django
- Creating Model classes
- Django Template tags and template programming
- Django rest framework
- Understanding REST Architecture
- HTTP GET, POST
- JSON serialization
- Writing REST API
- Web Extraction
- Beautiful Soup
- Selenium
- Serialization pickling, XML & JSON
- Introduction to Serialization
- Structure and Container
- Pickle Module
- pickling built-in data structures
- byte strings
- binary
- xml parsing and construction - xml
- json parsing and construction - json, simplejson
- Logging
- Purpose of logging
- Logging levels
- Types of logging
- Logging format
- Logging Handlers
- Disadvantages of excessive logging
- Custom loggers
- Role and responsibilities of a Business Analyst
- Key skills and competencies
- Overview of tools and technologies
- What is a Database?
- Types of Databases
- DBMS vs. RDBMS
- DBMS Architecture
- Normalization & Denormalization
- Installing PostgreSQL and MySQL
- Data Models
- DBMS Language
- ACID Properties in DBMS
- SQL Data Types
- SELECT, INSERT, UPDATE, DELETE
- SQL Operators and Keys
- SQL Joins
- GROUP BY, HAVING, ORDER BY
- Subqueries with SELECT, INSERT, UPDATE, DELETE
- Views in SQL
- SQL Set Operations and Types
- SQL Functions and Triggers
- Introduction to NoSQL Concepts
- SQL vs. NoSQL
- Database connection: SQL to Python
- Defining business objectives
- Assessing the current situation
- Determining data mining goals
- Producing project plans
- Initial data collection
- Data description
- Data quality verification
- Initial data exploration
- Data cleaning
- Data integration
- Data transformation
- Data reduction
- Data discretization
- Importance of data visualization
- Principles and best practices
- Overview of Tableau interface
- Tableau architecture and components
- Connecting to data sources
- Basic visualizations: bar charts, line graphs, and scatter plots
- Data extraction and blending
- Advanced data manipulation
- Creating different types of charts
- Advanced chart techniques
- Drill down and roll up features
- Quick sort, sort from headers, legends, axis, toolbar
- Sort by fields, nested sort
- Dimension filters, measure filters, date filters, context filters
- Creating and using groups, sets, and combined sets
- Adding and customizing reference lines and bands
- Dynamic parameters and parameter actions
- Exponential smoothing technique
- Clustering and other unsupervised learning techniques
- Creating and using calculated fields
- Quick table calculations
- Level of Detail (LOD) expressions
- Creating maps and geographical visualizations
- Integrating R scripts with Tableau
- Creating interactive dashboards
- Using dashboard actions and stories
- Preparation for Tableau certification exam
- Overview of Power BI interface
- Understanding Power BI architecture
- Data import and transformation
- Data cleaning and preparation
- Understanding data cardinality
- Creating data models
- Basic DAX concepts and functions
- Creating calculated columns and measures
- Basic and advanced visualizations
- Customizing visualizations
- Creating and managing dashboards
- Best practices for dashboard design
- Using advanced visualization techniques
- Creating interactive and dynamic visuals
- Sharing and collaborating with others
- Implementing security features
- Integrating ChatGPT with Excel
- Using ChatGPT for data analysis tasks
- Descriptive and inferential statistics
- Hypothesis testing
- Calculating and interpreting business moments
- Creating and using graphical techniques
- Entering and editing text and formulas
- Working with basic Excel functions
- Formatting data in an Excel worksheet
- Creating basic charts
- Pivot tables and pivot charts
- Conditional, lookup, and text-based functions
- Using data validation techniques
- Analyzing data with pivot tables and charts
- Using goal seek, data tables, and scenario manager
- Understanding and creating macros
- Using VBA for automation
- Working with VBA forms and controls
- Real-world business analysis scenarios
- Applying tools and techniques learned
- Comprehensive project involving SQL, CRISP-ML(Q), Tableau, Excel, and Power BI
- Presentation and peer review
- Effective communication strategies
- Presentation skills for business analysts
- Basic project management principles
- Tools and techniques for managing projects
Tools Covered
Trends in Business Analytics
Business analytics has refined significantly over the past decade giving users better insights into the operational data and improving upon the business process to target dimensions like profit and time to market. It is giving more and more people the ability to feel the sheer power of managing their data quality and with predictive and prescriptive analytics it is set out to become the most important trend in the digital world. Even smaller companies are collecting and analyzing data to move forward to meet new challenges and not having to fight for their share in the market. With the staggering amount of data being generated, AI applications are being pitched into the world of analytics to scan huge amounts of data and find correlations in them. Now businesses can find a ready-made solution to their problems with the advent of analytics.
Among the other trends, Data protection has become a primary concern for businesses worldwide. Apart from analyzing data to import insights one also needs to follow guidelines provided by GDPR (General Data Protection Regulation). Natural language processing is another trend catching up among analysts to provide an easy to understand interface for people to extract the required information from the database without the need for a dedicated data specialist. A Blockchain is a trend that is helping to a large extent in finding out which information can be trusted and used. It is also becoming handy in tracking false reports and fake news. Last but not least is the way data is presented graphically which is making it easy to unearth the relationship between transactions, organizations, and people.
Course Fee Details
Classroom Training
Mode of training: Classroom
- Limited seats for classroom
- Avail Monthly EMI at zero Interest Rate
- Lifetime validity for LMS access
- 20+ live hours of industry masterclasses from leading academicians and faculty from FT top 20 universities
- Career support services
Next Batch: 20th September 2024
INR 40,000
2185 Learners
285 Reviews
Virtual Instructor-led Training (VILT)
Mode of training: Live Online
- Live online classes - weekends & weekdays
- 365 days of access to online classes
- Avail Monthly EMI At zero Interest Rate
- Lifetime validity for LMS acces
- 20+ live hours of industry masterclasses from leading academicians and faculty from FT top 20 universities
- Career support services
Next Batch: 20th September 2024
INR 35,000
2185 Learners
285 Reviews
Employee Upskilling
Mode of training: Onsite or Live Online
- On site or virtual based sessions
- Customised Course
- Curriculum with industry relevant use cases
- Pre & Post assessment service
- Complimentary basic Courses
- Corporate based learning management system with team and individual dashboard and reports
Next Batch: 20th September 2024
2185 Learners
285 Reviews
Payment Accepted
All prices are applicable with 18% taxes.
How we prepare you
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Additional assignments of over 140+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 support
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Job placements in Business Analytics fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on experience in a live project
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Offline Hiring Events
Call us Today!
+91 9989994319
Certificate
Gain industry recognition for niche skills with the Professional Certification in Business Analytics. The certificate illustrates your ability to extract actionable insights from business data for improved decision - making.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
Our Alumni Work At
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FAQs for Business Analytics Certification Course
360DigiTMG offers the best business analytics course in India. The material is industry-specific and the course offers an opportunity to participate in a live project with INNODATATICS.
It is wise to pursue a business analytics course after MBA. 68% of Indian companies are adopting data science and Artificial Intelligence to streamline their decision-making process. It is necessary for every MBA to upgrade his knowledge of the latest technological happenings. This course will help management graduate sift through the humongous data in their organizations and derive meaningful business insights from the same.
The key benefits of a business analytics course are:
- The participants can expect good pay hikes in the role of a business analyst. Business Analysts are the most highly paid individuals in the industry
- The participants will learn to apply statistical methods for forecasting and business decision making
- Students will learn to use machine learning and artificial intelligence solutions to automate key business processes
- Professionals can resent business results to senior management and clients using powerful visualizations created in Tableau
The modules included in the course curriculum are:
- Hypothesis Testing and Simple Linear Regression
- Multiple Linear Regression
- Data Mining Supervised and Unsupervised
- Text Mining and Naive Bayes
- Black Box Techniques
- Time Series Analysis
- Data Visualization using Tableau
- Visual Analytics
This course lasts for 4 months . This involves 72 hours of classroom sessions, 140 hours of assignments and e-learning and 140 hours of live project work.
The student must have completed a Bachelors's degree in Mathematics/ Statistics/ Computer Science / Data Science or a Bachelors's degree in Engineering ( any discipline). Candidates who have completed ICWA, CA, ACS and MBA can also apply for this course.
The learning outcomes of this course are:
- The student must learn to work with various data generation sources
- Apprehend Text Mining to generate Customer Sentiment Analysis
- Gain proficiency in the use of various analytics tools, descriptive and predictive analytics
- Learn to apply machine learning solutions for better business decision making
- Learn to build prediction models
- Learn to forecast for able business decision making
- Apprehend Data Visualization concepts
The participant must possess basic computer knowledge and sound mathematical skills. He must also possess an analytical mindset.
The course material can be downloaded from our online Learning Management System (AISPRY).
As soon as a student joins a course he is assigned a mentor. If the institute feels that a particular student requires additional assistance then they will assign some more mentors for a single student.
All classroom sessions are video recorded and lodged in our Learning Management System AISPRY. If you miss a classroom session you can access the recorded session from the Learning Management System.
Our Learning Management System is titled AISPRY. It contains videos of classroom sessions, course material, quiz modules, assignments, program codes, practice data sets and other material needed for the certification examination.
Yes. We do provide you with data sets for the Tableau Training Program.
Once a student completes his course and receives the Course Completion Certificate, he is eligible for an internship. We offer an internship with INNODATATICS ltd. The students get involved in a live project with INNODATATICS. At the end of the internship, they will receive an Internship Certificate in recognition of their efforts.
Yes. At the end of this program, you will receive a Course Completion certificate from 360DigiTMG India.
This certificate is valid lifelong. This course has a pay once repeat many times offer. You pay for this course once and repeat it as many times as you want to in the course of your life.
No. The cost of the certificate is included in the course fee.
We offer end to end placement assistance to our students. We assist them in resume preparation and conduct several rounds of mock interviews. We circulate their resumes to reputed placement consultants with whom we have a long-standing agreement. Once placed we offer technical assistance for the first project on the job.
We have uploaded free webinars on youtube. They can be accessed from the link given below.
360DigiTMG offers the following domain-specific analytics programs
- Life Sciences and Healthcare Analytics Program
- Certification Program in Financial Analytics
- Certification Program in Marketing Analytics
- HR Analytics Certification Program
- Certification Program in Supply Chain Analytics
- Cyber Security Analytics Certification Course
- Data Science for Internal Auditors
Jobs in the field of Business Analytics
There is no denying the fact that Business Analytics will form the future of the business world in significant ways. Business analysts work across different industries like Information Technology, Finance/Insurance, Government and public sector, Business/professional consulting, Healthcare, and social services.
Salaries in India for Business Analytics
The professional growth in this field has an excellent outlook. Organizations such as TCS, Amazon, Google, Accenture, Wipro, etc. are great venues to work. A Business analyst salary may range from 4,00,000-5,50,000 at entry-level depending upon one’s skill set, work experience, and location.
Business Analytics Projects
One can explore various projects using various analytic tools like building a predictive model using Machine Learning to predict demands and trends, building a forecasting tool that can handle the problem of seasonality, changing economy, fluctuating demand levels, strikes, etc.
Role of Open Source Tools in Analytics
These tools help you create reports by collecting data from various sources and presenting them as visual insights that help improve upon processes and procedures in the business arena. In this program, we will explore tools like R, RStudio, Python, and Tableau.
Modes of Training for Business Analytics
The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Application of Business Analytics
Business analytics plays a vital role in the business industry where it is extensively used for providing meaningful insights in various domains including sales, manufacturing, marketing, supply chain optimization, and fraud detection to help companies gain an edge over their competitors.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sunil Kumar Behera
6 months agoI've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
Balu Malli Reddy
6 months agoI'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
Manu R
10 months agoThe data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
J Vivek
8 months agoOne of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
Kattamuri Mallikarjuna Rao
9 months agoThe teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
Mounika Devalamkadi
7 months agoIt was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
Kanishta Pal
6 months agoIt was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
Gani Ganesh
5 months agoI found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
Balasubramanian Siddnipalli
7 months ago360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
MD Kaif Khan
7 months agoExcited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
Rohith Reddy
5 months ago360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
Janu Reddy
8 months agoThe data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
Sai Abhilash
6 months agoDuring my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Anji Ranjith
7 months agoGreat institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
