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Business Analytics Master’s Program

Enrol now for the best business analytics course in India from most trusted elearning platform – Top Mentor!

Best Business Analytics Course in India with 100% Placement Assistance

Become a certified Business Analyst from the comfort of your home with Top Mentor. Our online course empowers you to learn at your own pace, mastering essential skills such as business statistics, Python, Machine Learning, and more. Gain confidence and expertise to excel in the field of business analytics. With our comprehensive curriculum, you'll analyze data effectively, build predictive models, and extract valuable insights easily leading to high paying jobs. Start your journey towards a successful career as a Business Analyst today.

Pay After Placement Program

Masters in Business Analytics Program

₹56000

(UPTO 50% OFF)

Top Mentor is a Premium Institute dedicated to your Future Career Growth.

Learn from the best Business Analysts in the industry and get hands-on experience with the latest development and techniques to help you land a high-paying job in the field. With our Business Analytics course, you will be ready to take on any challenge that comes your way.

Award winning

'Top Mentor' offers the best Business Analytics course in India making us deserving of our awards.

Technology Driven

Fully Equipped Lab facilitate best Business Analytics Course in India. Enquire now to know more.

Experts & Mentors

A Trainer Helps You Learn Business Analytics, But A Mentor Helps You Master it. Do Not Miss Our Mentorship Programs!

Career Strategy

Our Mentors Will Personally Guide You, Help You Find Jobs Ensuring Your Success In Business Analytics Career.

Deepest Syllabus

Our syllabus is designed by top Business Analysts in India keeping best interest of students. It focuses on delivering results and jobs to students.

Future Opportunities

We Have Tie-ups WIth HRs & Placement Agencies. So You Will Get 100% Job Assistance After The End Of This Business Analytics Course in India.

Some of the Top Highlights of our Business Analytics Course in India.

Live Mentoring

Live Mentoring

Learn live from real life experienced Business Analysts! Using live online classes also allows for instant feedback, which helps improve student engagement.

Lifetime LMS Access

Lifetime LMS Access

In offline medium, if you miss the class there is no way to see the exact class you missed. Even if you do, the recordings are not there to revise.

100% Practical & Projects Driven Mentoring

100% Practical & Projects Driven Mentoring

Practical Project based learning can often lead to a deeper understanding of a concept through the act of personal experience.

1:1 Mentorship

1:1 Mentorship

One-to-one mentorship with mentor brings 2X faster doubt clearing. This setup allows you to build relationship with mentor, ask doubts on the go whenever you need to resolve them.

#1 in Placement Rates

#1 in Placement Rates

TopMentor takes care of entire 360 degree placement processes, offers 770+ hiring partners, professional resume building, linkedin profile building, portfolio building, interview prep etc.

Lowest Fees, 10X ROI

Lowest Fees, 10X ROI

TopMentor co-founders had huge education loans when they started their careers. So when they founded the company, they were determined to keep the costs low and affordable to anyone willing to change his/her career.

Why everyone should learn Business Analytics?

Business analytics involves deriving actionable insights from data to enhance business productivity, efficiency, and revenue.

Informed Decision Making

Analytics involves solving complex problems making it a valuable skill both professionally and in everyday life. The ability to analyze data and draw conclusions is highly sought after.

High Demand

Business analysts are in high demand, with a looming skill shortage predicted as more industries embrace big data. This trend translates into higher salaries and numerous job opportunities for graduates with analytics skills.

Wide Range of Opportunities

The Business analytics boom has created diverse job opportunities across various industries, including aviation, government, and more. This field offers exciting career prospects and the potential for global opportunities.

Growing Importance

The world of analytics is currently experiencing a significant boom, driven by the abundance of available data. As data becomes more valuable, the demand for business analysts will increase, offering better job prospects and career advancement.

Range of Skills

Business analytics encompasses more than just data manipulation and problem-solving. It also involves effective communication of complex information and often leads to the development of leadership skills, making it a well-rounded career choice.

19x

Data-driven organizations have a 19x higher likelihood of being profitable.

Career Trajectory and Salary Trends

**Source: Glassdoor, Ambitionbox

Business Analytics Course in India
Business Analytics Course in India
Business Analytics Course in India

Some of the Major Unique Contents Covered in Business Analytics Mentorship Program!

Core Business  Analytics

Core Business Analytics

This part of business analytics training covers overview of Business analytics. In addition, terminologies & applications within business analytics along with 3 exercises

Python For Business Analytics

Python For Business Analytics

Don’t know python? No worries – we got your back. We will teach right from basics of python so even if you don’t know python, you would still be able to make it.

Statistics For Business Analytics

Statistics For Business Analytics

Our instructor is a master statistician & will help you easily understand and master statistics even though you are not good with maths.

Predictive Modeling & Analytics

Predictive Modeling & Analytics

Training covers detailed practical process & execution. Master logical regressions, modeling. .Master Principles of Predictive analytics.

Machine Learning

Machine Learning

Learn to create machine learning algorithms in python. Master making robust machine learning models & using them to solve any complex problems.

20+ Projects

20+ Projects

Dive deep and practice real time on engaging visuals & capstone projects for your portfolio. Perfect for people without any prior oop knowledge.

Visualization With TABLEAU

Visualization With TABLEAU

Master various features of tableau. Create & design the visualizations for your audience. Learn to combine the data & practices to present your story

PowerBi

PowerBi

PowerBi is crucial for career because it equips learners with valuable data visualization skills which are highly sought after by companies

Deep Learning

Deep Learning

If you wanna begin your deep learning journey then this course is great for you. It is designed in easiest way such that you don’t get bogged down unnecessarily.

SQL

SQL

Best way to learn SQL is by practicing it. Install free open source database & start writing and running simple queries using data. MYSQL is a free popular database that is compatible with most operating systems.

Jira

Jira

Jira is most widely used bug tracking and project management tool. If you follow any development methodology you can easily start using Jira in your project as it provides best customization possibilities.

Business Statistics

Business Statistics

possibilities statistics can facilitate decision making and performance reviews for business. From statistics business can understand how customers behave and react to its offerings. Business can improve accordingly.

Agile & SCRUM

Agile & SCRUM

Github emphasizes iterative development and flexibility to adapt to changing requirements, while scrum provides a framework for managing complext projects

Github

Github

Github can easily be used as a collaboration platform among coders and can be used to build complex systems. As a beginner you should learn programing syntax first.

Business Analytics Course in India

Here is our Industry Ready & Detailed Syllabus

Business Analytics Course in India
  1. Data Analytics And It's Concept
  2. Scope Of Data Analytics
  3. Data Engineering
  4. Data Stories
  5. Business Intelligence And It's Concepts
  6. Application Of BI In The Real World
  7. Basics Of Artificial Intelligence
  8. Applications Of AI In The Real World

Assignments and 2 real case projects on design thinking.

  1. Definition/Overview
  2. Importance Of Data Analytics
  3. Role And Scope Of Data Analytics
  4. History And Future Of Data Analytics
  5. Benefits And Challenges Of Data Analytics
  6. Life Cycle Of Data Analytics
  7. Salaries Of Data Analytics Roles
  1. Definition/Overview
  2. Concept And Tools Of BI?
  3. Life Cycle Of Business Intelligence
  1. Definition/overview
  2. Examples
  3. Applications Of Data Mining
  1. Definition/overview
  2. Types Of Analytics
  3. Scope And Role Of Analytics In Business
  1. Sum-if & ifs
  2. Average-if & ifs
  3. Count-if & ifs
  4. Lookup Function - Vlookup, Hlookup, Xlookup
  5. Excel Shortcuts
  1. Definition/Overview
  2. How To Create A Pivot Table?
  3. Data Analysis Using Pivot Table
  4. Pivot Charts
  5. Report Building And Filters In Pivot
  1. Data Analysis
    i. Correlation
    ii. Regression
    iii. Co-variance
    iv. Moving Average
    v. Descriptive Stats
  2. What-If Analysis
    i. Goal Seek
    ii. Scenario Manager
  3. Pivot Query
    i. Loading Data
    ii. Transformations
  4. Live Data Connection and Analysis
  1. What is Data Visualization?
  2. What is meant by reporting?
  3. What is Data Story Telling? Why we practice it?
  4. What is Dashboard?
  1. Overview of Tableau
  2. Different Products Category of Tableau and its Uses
  3. Charts and Data Types in Tableau
  4. Data Connections in Tableau
  5. Different Filters in Tableau
  6. Groups and Sets in Tableau
  7. Hierarchy in Tableau
  8. Calculated Field in Tableau
  9. Reference Line in Tableau
  10. Parameters in Tableau
    i. Forecasting in Tableau
    ii. Clustering in Tableau
    iii. What If Analysis in Tableau
    iv. Custom Tooltips in Tableau
    v. Dashboard Layout in Tableau
    vi. Custom Headings in Tableau
    vii. Stories in Tableau
    viii. Joins in Tableau
  11. Report Building and Data Analysis in Tableau
  12. Cohort Analysis in Tableau
  13. PDF/PPT Import Generation in Tableau
  1. Overview of Data
  2. Types and Forms of Data
  3. Applications and Examples of Data
  4. Overview of Statistics
  5. Types of Statistics - Applications and Examples
  1. Overview Of Descriptive Statistics
  2. Functions in Descriptive Statistics - Applications And Examples
    i. Average
    ii. Mean
    iii. Median
    iv. Mode
    v. Standard Deviation
    vi. Skewness
    vii. Kurtosis
    viii. Range
    ix. Variance
    x. Co-efficient Of Variation
    xi. Correlation
          a. Pearson
          b. Spearman
    xii. Co-variance
    xiii. Squared Error
    xiv. Mean Squared Error, RMSE, MAD
    xv. Hands On Python/Excel
  1. Overview of Inferential Statistics
    i. Population and Sample
  2. Test in Inferential Statistics
    i. T-test
    ii. Chi-square
    iii. Anova
    iv. P-value
    v. Tables and Critical-value
    vi. Confidence Interval
    vii. Hands on in Python / Excel
  1. What is Probability Distribution?
  2. Examples and Applications of Probability Distributions
  3. What are Normal Distributions?
  4. What are Uniform Distributions?
  5. What are Skewed Distributions?
  6. What is a z-score?
  7. Hands on in Python/Excel
  1. Why we need Programming in Data Analytics
  2. In which language can we do Programming?
  3. Overview of Programming
  4. What is Compiler and Interpreter?
  1. Python Overview
  2. Python Installations
  3. Setting paths in Python
  4. Coding with IDLE
  5. Installing Editor - PyCharm/VS-Code
  6. Setting interpreter
  1. What is Anaconda?
  2. Installations
  3. Keywords and Identifiers in Python
  4. Comments, Indentations and Statement
  1. Integers
  2. Strings
  3. Float
  4. Boolean
  5. Bytes
  1. Arithmetic Operators
  2. Logical Operators
  3. Membership Operators
  4. Equality Operators
  5. Comparison Operators
  1. If
  2. If....... elseif
  3. If.......elseif.......else
  4. Loops-
    i. For Loop
    i. While Loop
    e. Transfer Statements
    i. Break
    ii. Continue
    iii. Pass
  1. Lists
  2. Tuple
  3. Sets
  4. Dictionary
  5. Range
  1. Python Inbuilt Functions
  2. Lambda Functions
  3. User Defined Functions
  4. Arguments in Functions
  5. Modules in Python-
    i. Math Module
    ii. Random Module
    f. Exception Handling in Python
  1. Introduction to Numpy
  2. Introduction to Array
  3. Numerical operations
  1. Data Cleaning
  2. Missing Values Handling
  3. Handling categorical and Numerical Features
  4. Outlier Detection and Imputation
  5. Exploratory Data Analysis (EDA)
  6. Decide Suitable Algorithms
  7. Sampling
  8. Data Diagnostics using Sklearn -
    (Model Selection, train-test split, Confusion Matrix,
    Standard Scaler, Normalization, transformations)
  1. Introduction to matplotlib
  2. Introduction to Seaborn
  3. Introduction to Iris dataset and 2D scatterplot.
  4. 3D scatterplot.
  5. Pair plots.
  6. Limitations for Pair plots.
  7. Histogram and introduction to PDF
    (Probability Density Function).
  8. Univariate analysis using PDF.
  9. CDF (Cumulative Distribution Function)
  10. Variance, Standard Deviation.
  11. Median.
  12. Percentiles and Quartiles.
  13. IQR (Interquartile Range) Boxplot with whiskers.
  14. Violin plots.
  15. Heatmaps and Correlations Plots
  16. Regression Plots
  17. Line Plots
  18. Pie Charts and Donut Charts in Python
  1. Introduction to databases.
  2. Why SQL?
  3. Installing MySQL.
  4. Load Data.
  5. Use, Describe, Show Table.
  6. Select.
  7. Order By, Distinct.
  8. Where, Comparison Operators, NULL.
  9. Logic Operators
  10. Aggregate Functions: COUNT, MIN, MAX, AVG, SUM.
  11. Group By.
  12. Join and Natural Join.
  13. Subqueries/ NestedQueries/ InnerQueries.
  14. DML: INSERT.
  15. DML: UPDATE, DELETE.
  16. DML: CREATE, TABLE.
  17. DDL: DROP TABLE, TRUNCATE, DELETE.
  18. Window Functions
    i. SUM
    ii. MAX
    iii. Average
    iv. Rank
  19. Views, Stored Procedures and Tables in MY SOL
  20. Data Analysis and Data Wrangling In MY SQL
  1. What is ML?
  2. Different types of ML? Example and Applications
  3. Life Cycle of Machine Learning
  4. Challenges of Machine Learning
  1. Linear Regression Analysis
    i. Geometric intuition of Linear Regression
    ii. Geometric intuition of Multiple Linear Regression
    iii. Lasso and Ridge Regression
    iv. Polynomial Regression
    v. Diagnostics of Regression
        a. Rsquare
        b. RMSE, MSE
  2. Classification Analysis
    i. Geometric intuition of Logistic Regression
    ii. Imbalanced vs Balanced Datasets Analysis
    iii. Diagnostics of Classifications -
        a. Accuracy
        b. Confusion Matrix
        c. TPR, FPR, FNR, TNR.
        d. Precision and recall, F1-score.
        e. Receiver Operating Characteristic Curve (ROC) curve and AUC
  3. k Nearest Neighbor Algorithm (KNN)
    i. Maths Behind KNN
    ii. Distance Calculations in KNN
    iii. Elbow Method
  4. Decision Tree
    i. Geometric intuition of decision tree.
    ii. Sample Decision tree.
    iii. Building a Decision Tree: Entropy (Intuition behind Entropy)
    iv. Building a Decision Tree: Information gain.
    v. Building a Decision Tree: Gini Impurity.
  5. Random Forest
    i. Geometric Intuition of Random Forest
    ii. Feature Importance
    iii. Predicted Probabilities
  1. Clustering -
    i. Overview of Clustering
    ii. Applications of Clustering
  2. K-Means Clustering Analysis
    i. K-Means: Geometric Intuition
    ii. Centroids
    iii. K-Means: Mathematical formulation: objective function
    iv. K-Means Algorithm.
    v. Failure cases/Limitations.
    vi. K-Medoids.
    vii. Determining the right K- Elbow method
  3. Hierarchical Clustering Analysis
    i. Agglomerative & Divisive, Dendrograms.
    ii. Agglomerative clustering.
    iii. Proximity methods: Advantages and Limitations.
  1. EDA
  2. Moving average.
  3. AR and MA - Arima
  4. Auto Arima
  5. Seasonality
  6. Decomposition
  7. Pattern Analysis
  8. Plots in Time Series
  9. Diagnostics of Time Series Modelling
  1. Data Types
  2. Measure of Central
    i. Mean
    ii. Median
    iii. Mode
  3. Tendency
  4. Measures of Dispersion
    i. SD
    ii. Variance
    iii. RMSE
    iv. MSE
    v. MAE
    vi. VIF
  5. Graphical Techniques
    i. QQ Plot
    ii. Variance Plot
  6. Skewness & Kurtosis
  7. Box Plot
    i. Explanation
    ii. Imputation
    iii. Various Methods
  8. Random Variable
  9. Probability
  10. Probability Distribution
    i. Loglikelihood
    ii. Cumulative
  11. Normal Distribution
  12. SND
  13. Sampling Funnel
    i. Train Test
    ii. Stratified
  14. Central Limit Theorem
  15. Confidence Interval
  16. Introduction to Hypothesis Testing
  17. Anova and Chi-Square Test
  18. Data Cleaning
    i. Sorting
    ii. Date Cleaning
    iii. Outliers
    iv. High variance
    v. Transformations
  19. Imputation Techniques (Mean and Median)
  20. Scatter Diagram and Correlation Analysis
    i. Pearson
    ii. Spearman
  1. Project Definition
  2. Difference Between Traditional & Agile Project Mgmt.
  3. Agile Manifesto and Principles
  4. Agile Methodology
  5. Agile Principles
  6. Agile Frameworks and Terminology
  1. Product Roadmap
  2. Product Backlog
  3. Story Maps
  4. Agile Modelling
  5. Wireframes
  6. Charting
  7. Personas
  1. Iteration and Release Planning
  2. Progressive Elaboration
  3. Time Boxing
  4. Cumulative Flow Diagram
  5. Kanban Boards
  6. WIP Limits
  7. Burn Charts
  8. Retrospectives
  9. Innovation Games
  1. Relative Sizing
  2. Story Points
  3. Wideband Delphi Technique
  4. Planning Poker
  5. Affinity Diagram
  6. Ideal time
  7. Velocity
  8. Cycle Time
  9. EVM
  10. Escaped Defects
  1. Frequent Verification and Validation
  2. Test Driven Development
  3. Definition of Done
  4. Continues Integration
  5. Feedback Techniques
  6. Incremental Delivery
  7. Continuous Improvement
  1. Customer Valued Prioritization
  2. Compliance
  3. Relative Prioritization
  4. Value Stream Mapping
  5. Minimum Marketable Feature
  1. Risk-adjusted backlog
  2. Risk Burn down charts.
  3. Risk-based spike
  1. Team Space
  2. Information Radiator
  3. Agile Tooling
  4. Daily Stand-ups
  5. Osmotic Communication
  1. How does ChatGPT work?
  2. ChatGPT Functionalities
  3. Drafting emails and professional
  4. Communication
  5. Automating content creation
  6. Resume and Cover letter creation
  7. Research and information gathering
  8. Brainstorming ideas and creative problem solving
  9. Best Practices for Using ChatGPT
  1. What is Prompt Engineering?
  2. Types of Prompts
  3. Crafting Effective Prompts
  4. Using ChatGPT to generate prompt.
  1. Profile Creation
  2. Repository Creation
  3. Maintenance
  4. Tags in GitHub
  5. Uploading Files in GitHub
  6. Commit Change

Here are the Learning Outcomes from the course.

Here is the Ultimate Learning Path of Data Analytics Course

Business Analytics Course in India

Business Analytics is a practice of using data analysis to drive informed decision making and improve business performance & competitiveness.

Business Analysts not only have a proper skills set but also have knowledge of different backgrounds like Mathematics, Analytics, Modelling, Statistics and have the ability to make good judgements and take quick decisions in business.

220K+
Demand for Business Analysts by 2024
17 Lacs+
Average Salary of Business Analyst in India
1 M+
Job postings on Indeed
33%
Projected increase in Business Analysts by 2024

The biggest advantage of working as a business analyst is that you can work in any industry, which can be sales, marketing, pharma, healthcare, consulting, finance, CPG, retails or any business which makes data driven decisions.

  1. Data Scientist 

  2. Data Analyst

  3. Business Analyst

  4. Tableau Developer

  5. Machine learning Engineer

  6. R Developer

  7. SQL Developer

  8. Junior data Scientist

  9. Research Analyst

  10. Statistician

  11. Data Engineer

  12. Machine Learning Scientist

  13. Data Architect

One on One Mentorship

The relationship is exclusively between one mentor and one mentee. An experienced senior mentor takes a junior mentee under their wing, sharing their wisdom, and expertise that help mentee solve doubts, problems faced during the program. This helps mentee progress faster

Award Winning Learning Management System

Learn anytime, anywhere & track your progress.

Leading MNCs and SMEs have preferred ‘Top Mentor’ for their needs of great industry ready professionals.

We have over 10 years of experience with top business professionals as mentors. Here is what our students have to say about our Best Business Analytics Course in India.

Best Business Analytics Course In India Review

Muskan Chaurasia

Best Business Analytics Course In India Review

Chetan Patidar

Best Business Analytics Training in India Review

Saurabh Rana

Best Business Analytics Training Institute In India Review

Shivam Pandey

Confused while choosing an institute? Just because some are offering Trainers and some are offering Mentors?

Trainer

There is not much difference between a trainer and a teacher. In the corporate world, a teacher is known as a trainer.

The trainer’s job is not to motivate or make an employee or a student potentially active on a targeted task, the trainer is just to explore their knowledge about a particular subject which they are specialized in. A trainer will not give you the knowledge of what can happen on a practical project/live project because a trainer isn't able to find the best way in which you can learn the particular subject or skill or concept.

Like a teacher, a trainer will provide you an environment of a classroom like you got in school and college, where the trainer will stand by in front of you behind a table. So, as we know in the classroom some of us get to understand what the trainer says and some of us not, because of miscommunication between the trainer and you the points get may be skipped.

Mentor

Mentors provide you personal advice, counsel, and support with their experience of working on a project with practical examples. A mentor has far more information than a trainer because of their working status. A mentor can be more effective than a trainer. A mentor is not a full-time trainer like a trainer does. A mentor does his mentorship in their free time while they do not have other stuff to do.

Mentors stick to a commitment until the job is done. Mentors wait for the mentees to understand and complete the process, they do not rush the process until the mentee is able to complete the process on his/her own. Usually, the mentors and mentee develop their friendship when official relationships are not mandatory. Generally, a mentor is not much aware of the company’s goal and they are more concerned about the mentee’s personal goal.

At TopMentor, we only have mentors. Who are currently working as a professional in the industry. So, I bet you will never be disappointed during the class. There will be no option that you are not understanding or even incase you don’t understand, you can ask the mentor at any time and as soon as possible the mentor will reply to you and will solve your doubt you will have.

We are a ISO approved company. We provide 10 international certificates to students with their unique certificate ID. Every month out students find jobs in India and abroad with the help of these valuable international certifications. 

There are different opinions about whether one should join an online course for business analytics or an offline one.

We, at the top mentor, used to run an offline course for business Analytics for the first couple of years but during offline sessions students were facing many problems like what if you miss a couple of classes.

In offline mode, there is no way where you can provide recording of class to students so that students can cope up with the course if some classes are missed. No student can attend 100% live classes as there could be some emergencies that come up and if they miss any of the class, the next class is nearly impossible to understand. Conversely, in online class, even if you are travelling, you can attend classes remotely and if you miss any class, we at top mentor will provide recordings of that particular class so you can cover the same.

In recording, we do not provide previously recorded sessions, for each batch their own fresh lectures are recorded and provided and hence it becomes really easy to cope up with the course even if you miss a couple of classes.

In offline mode, there is always the issue, if you don’t want to travel far from your place, you will have to settle on an average institute which is nearby and makes no sense of pursuing the course then. Rather in online mode, you can attend classes from anywhere from the world in the best data analytics institute like top mentor where you are taught by industry mentors and your travelling time will be saved.

Based on interaction or doubt resolution, we came to know that in offline mode, for many students who are shy, it’s difficult for them to ask their queries in front of other students but in online mode, you can just turn off the video and ask as many questions as you want and get your queries resolved.

Based on all these parameters, we will always recommend going for an online Business Analytics course rather than offline mode and as there is a dedicated team present at top mentor to help you out, it is one of the best Data Analytics online courses available at lowest fees in the market.

As, you want to search for the best institute for a Data Analytics course, there are some parameters which you should consider while choosing the best training institute or platform providing the best Data Analytics course. After complete research and based on students’ opinions following are crucial points which you should consider while choosing the best Data Analytics course.

  1. Course curriculum:

Data Analytics is an ocean and there are lots of things which you can learn, different portals offer different content and which eventually leads you to confusion. Best thing to do is, check with the professionals who are working in industry, check with skills which are asked in the job description of Data Analytics and crosscheck with the institute’s curriculum whether important parts are covered or not. To work in industry, you don’t need to cover everything, remember Jack of all and master of none applies here too.

  1. Teaching Faculty or Mentor:

As you will be a new bee in this field, it’s always important to have a top mentor from the field who will guide you throughout your journey. Always go for that institute which has mentors to guide you and not ordinary trainers.

Mentor is the person who is actually working in that field, executing all the concepts practically and has a good knowledge of industry. So always go for the institute who is providing you mentors not just ordinary trainers.

  1. Projects Covered:

Projects you work on during your training plays a very important role while being interviewed. So choose the particular best institute for Data Analytics which covers the maximum number of projects covering multiple domains so that you will have multiple options while appearing for an interview.

  1. Live Interactive Sessions:

Training sessions conducted in the best Data Analytics training institute in India top mentor are not one way, they are always interactive. During sessions, where you can resolve your doubts, where attention of each student is given and sessions are live, you should go to that institute for a data science course.

  1. Assignments and Personalize Feedback:

Check whether assignments during the training are given or not. Remember it’s a completely different part to learn and to execute practicals or to implement things so during the learning process it’s very important to work on assignments and get feedback on those to cross check your knowledge or whether you are lagging at a particular topic. Make sure when you choose an institute for a Data Analytics course, regular assignments are given there.

  1. Placements assistance and Support:

The important part is whether you get support from the team or not. Go for the institute where you will get support from the team and mentor to solve any issue you are facing.

In the market, there is no institute which can guarantee you the placement so be aware if some institute is claiming the same.

Any company which will hire you will definitely look whether you are having skills, knowledge as per their requirement and you are suitable for the job opening they are having after interviewing you, as ultimately it’s their company who will pay you a monthly salary. So it's you, your efforts, your practice which will land you in a good job as Data Analyst with the help of institutes which are having tie ups.

Institute which gives you a job as a data scientist will have good connections and network in companies which will help you to get your resume shortlisted and get you an  interview but to crack and interview and secure a good job ultimately depends on you so beware of false job guarantee programs.

By considering all the above points, top mentor is best training institute for Business Analytics providing best business analyst course.

  1. If you consider the course curriculum at top mentor, top mentor institute covers around 150+ modules, the syllabus we cover is not only most extensive but also designed by industry mentors who work industry as Business Analyst and hence you can totally rely on this syllabus to get a good job in data analytics. At top mentor you will get best teaching for business analytics online course.

  2. At top mentor, you will not get ordinary trainer but mentors who are having average 5+ years of experience in industry. Mentors at top mentor are best and working professional. During training they will relate their actual industry experience which will help you to be industry ready.

  3. In top mentor, around 15-20 projects are covered which are maximum in industry and are industry related so it’s the best choice for data analytics course as projects covered make big difference while getting placed. Top mentor institute is the best Business Analytics course in pune which concentrates more on practical part and maximum projects related to Business Analytics are covered at top mentor.

  4. Sessions conducted at top mentor for Business Analytics courses are highly interactive. We make sure that the query of each student is resolved and personal attention to each student is given irrespective of batch size. Each session is live where you can resolve your doubts on the spot. For revision purposes you will get recordings of each class so even if you miss any class, you can go through the recordings.

  1. Here at the top mentor, the mentor will give assignments on nearly every module. Each assignment submitted by student is assessed by mentor and given personalized feedback on each assignment

  2. At the top mentor, you will get the best placement assistance. We have tie ups with different HRs and companies and will help you to reach your end goal of getting a job as a business analyst. Our HR team will help you right from resume building and you will get placement assistance here till you get placed.

Have a look at some prestigious organizations, which are our major hiring partners.

Frequently Asked Questions

There’s absolutely no eligibility for our Business Analytics mentorship program. Anyone who wants to change and transform life and career should and can join the Business Analytics masters program with Top Mentor.

Yes absolutely, you will get 100% job assistance after the end of this Business Analytics Course in India. We have tie ups with placement agencies, HR’s and companies with requirements in business analytics. It helps you get more interviews and easier placements. You will get placement calls from city of your choice.

It takes upto 5-6 months to complete the entire Business Analytics masters program with Top Mentor.

‘Top Mentor’ is one of the rare Data Analytics training institute in Pune which helps 100% when you miss sessions. We will asssit you to cover up your syllabus even if you miss it. Teaching and completing your syllabus until you understand is our goal.

We have flixible batch timings both on weekdays and weekends. However, we recommend weekend batches to get more insights from industry experts.

Media Talks About Us

We are featured in prestigious media publications.

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Times of India

Best data science training institute/course in India with guaranteed placement opportunities : Top Mentor

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Mid-day

Top Mentor sets highest placement standards by placing 550+ students in the last quarter.

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Outlook Magazine

Become a Renowned Data Scientist With Topmentor's Mentorship Programs.

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ANI News

TopMentor, an Edtech Startup becomes the goto place for professionals seeking jobs abroad.

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Women Entrepreneur

Priyanka Pandharpurkar: Encouraging An Environment of Learning To Increase The Performance of Organisations

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Indian Achievers Forum

Owing to the phenomenal placement records, TopMentor stands as a promising company in the edtech world.

Let Us Build Your Business Analytics Career Brighter.

Your Ticket To Become Highest Paid Business Analyst!

No matter what your goal is – to get a job or be a great Business Analyst. We will do whatever in our powers to help it happen. Therefore, we are the best institute offering Business Analytics course in India due to our exceptional mentor-based approach.

Join India's best data science training course in India and learn from the top mentors in the industry. Enroll now and get started on your business analytics journey today!

100% Placement Assistance. Live Projects. Flexible Timings.

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