Data Science And Business Intelligence Course By IIT Guwahati

E&ICT Academy

IIT Guwahati

Data Science And Business Intelligence

Online Instructor-led
2312 Ratings

Give a boost to your career through Data Science and Business Intelligence program by Fingertips in collaboration with E&ICT Academy IIT Guwahati. This certificate program includes cutting-edge curriculum led by E&ICT Academy IIT Guwahati faculty, to help you enhance job-ready skills. Enroll right away and master the domain of Data Science and Business Intelligence together!

Your Dream Career Is Just One Step Away

Program Rating
Program Duration
6 Months
Post-Program Job Support
6 Months
No cost EMI

Gain Competitive-Edge In Emerging Technologies Through Data Science And BI Program

Average Salary Hike
Career Transitions
Hiring Partners

Key Highlights

Learn from E&ICT Academy IIT Guwahati Faculty & Industry Experts

100% Job Assistance

Preparation of technical and HR interview rounds

Industry-oriented learning paths

20+ Industry projects & case studies

400+ hours of extensive learning

Industry-oriented curriculum

24*7 LMS Support

Dedicated Program Manager

2 Days campus immersion at IIT Guwahati

3 Guaranteed Interviews

Certification from E&ICT Academy IIT Guwahati

Skills Covered

Data Science

Data Analysis

Data Visualization

Power BI

Business Intelligence



Data Modeling

Power Charts

Data Science

Data Analysis

Data Visualization

Power BI

Business Intelligence



Data Modeling

Power Charts

Request more information

Contact us


Program Details

The data will rule in the future. Join Data Science and Business Intelligence program to get Future-Ready and excel in both fields. The collaboration between E&ICT Academy IIT Guwahati & FingerTips is designed to make the learners Industry-Ready in the domain.

What is Data Science and Business Intelligence course objective?

The Data Science and Business Intelligence course in association with E&ICT Academy IIT Guwahati will help you to enter the booming field of Data Science and Business Intelligence. With this program, the learners will gain skills in the field of Business Intelligence, Data Visualization, Data Analytics, SQL, Machine Learning, etc.The course will at last end with capstone and Real-world projects to help the learners gain practical expertise in the field.

What can I expect from Data Science and Business Intelligence course?

After completion of the course, learners will receive a certificate for the course. The certificate will help you enter the domain of Business Intelligence and Data Science. FingerTips will also provide career assistance to train you with the job application and final selection process.

What is the duration of the course?

The Data Science and Business Intelligence course is a total of six months program inclusive of practical Hands-On Training.

What projects are included in Data Science and Business Intelligence course?

Get an opportunity to work on Real-World Datasets of companies like Airbnb, Walmart, Spotify, Amazon, Netflix, and more. Learn from basics like cleaning a large amount of data, organizing it, and much more.

What is the typical syllabus of the Data Science and Business Intelligence course?

Before enrolling in Data Science and Business Intelligence program, one should make sure all the important concepts and components of the fields are included in the curriculum. The important concepts are Business Intelligence with Tableau, Data Visualization with Power BI, Data Analysis, SQL, basics of programming, and much more.

What skills will you learn in Data Science and Business Intelligence course?

In this Data Science and Business Intelligence course, you’ll learn Data Science, Data Analysis, Data Visualization, Business Intelligence, Power BI, MS-SQL, SQL DBA, Data Modeling, and Power Charts.

Who should enroll in Data Science and Business Intelligence course?

Anyone with graduation in any field can get enrolled in Data Science and Business Intelligence course. This program prepares the learners from the basics and thus learners from Non-Tech backgrounds can enroll in the course.

What are the job opportunities upon completing the Data Science and Business Intelligence course?

Learners who complete the Data Science and Business Intelligence course will gain the skills and can land their dream job easily. Jobs positions that you can apply for after completion of the course are:
• Business Intelligence Architect
• BI Manager
• BI Developer
• Data Engineer & Data Analyst
• Data Scientist
• Analytics & Insights Analyst

View more

Tools Covered

View more


  • Business Intelligence With Tableau

    Start your career journey by getting in-depth insights into what is Business Intelligence along with Tableau. It is developed by industry experts and aligned with the latest practices. You will master Business Intelligence concepts with Tableau through this module.

    Course Content

    Introduction To BI

    • Business Intelligence is the process of converting raw data into usable insights. The module of "Introduction to Business Intelligence" will help you to understand how BI works, how to create a strategy, and various BI platforms.

    Introduction To Tableau

    • A tableau is a powerful tool used for data analysis and visualization; using it, you will be able to create an amazing and interactive visualization, and that too without coding. This module of "Introduction to Tableau" will help you with the installation of Tableau, its user interface, different usage of Tableau in industry, several real-time use cases from various Business Domains, and the main differences between the Tableau Desktop and Tableau Public.

    Connecting Different Sources

    • This lesson will help you learn to connect various data sources from different locations. Also, you will learn about different types of connections and how to connect those connections into a text file, excel file, and databases.

    Getting Started With Tableau

    • Tableau is the software that allows the user to represent the data in a visual format. To utilize Tableau, this module will cover the installation of Tableau and other basic features for the same.

    Working With Metadata

    • The Tableau software provides the user with an amazing metadata system that is known as DataSource. The module will cover learnings that are introduction and working of metadata, understanding fields, values, etc.

    Join Data

    • In this session, you will learn about how to create a join and then how you can combine those joins by using different types of joins such as Inner Join, Right Join, Left Join, etc. This module will also cover the differences between relationships and joins.

    Data Blending

    • Data Blending is a method for combining data from different sources as it brings additional information from a secondary data source; you will also understand about primary and secondary data sources, blend relationships for blending, how to establish a link, multiple links, and major differences between joins, relationships and blending, with knowledge about some limitations of blending.

    Creating Charts In Tableau

    • Visual representation in chart and graph form helps to get detailed information on the data. To understand data in easy form, this module will cover creating charts in Tableau with all the basic and advanced charts.

    Applying Analytics To The Worksheet

    • When you're finished with this lesson, you'll have the skills and knowledge to apply analytics to a worksheet needed to communicate insights effectively to your users. Here you will learn marks card, highlighting, sorting, grouping, constant sets, bins, hierarchies, and much more.

    Filters In Tableau

    • This Data Science with BI course will establish your mastery of filters in Tableau. You'll learn the essential concepts of Filters and gain in-depth knowledge of dimension filters, date filters, visual filters, context filters, and more. Filters is a required skill for many Data Science positions, so jump-start your career with this interactive, hands-on course.

    Advance Charts

    • Tableau offers a variety of data analysis tools to easily explore the data and produce effective visualizations converting simple figures into advanced charts. In this lesson, you'll learn how to use Box and whisker's plot, and different types of charts like Bullet, Bar In Bar, Gantt, Waterfall, Funnel, etc. Also, there will be a brief understanding of Step and Jump Lines, World Cloud, and Donut chart.

    Calculations In Tableau

    • Start with some basic calculations, different types of calculations, and some Built-In functions. Also learn, Level of detail (Lod), Nested Lod expression with aggregation and replication, KPI table, table calculations, and helper functions.

    Advanced Visual Analytics With Tableau

    • This lesson will help you with creating parameters, charts, and column selection parameters, dashboard formatting, tooltips visualization, and layout to create interactive and actionable dashboards for mobile, also creating and updating story points.

    Publishing And Sharing Reports

    • In this lesson, you will briefly learn about sharing options in Tableau and the best ways to represent export and print your reports easily.

    Dashboard In Tableau

    • This module helps you understand how to use dashboards in Tableau to empower more meaningful business decisions. You'll be exposed to the concepts of building interactive dashboards with actions, designing dashboards for devices, and story points.

    Introduction To Level Of Details In Tableau (LODS)

    • Level of detail expressions (LOD) expressions allows you to compute values at the data source level and the visualization level. This lesson gives you the information you need to successfully start working with LODS, expression syntax, aggregation, and replication with LOD expressions and Nested LOD expressions.
  • Data Visualization With Power BI

    At this stage, you will learn about live data dashboards, interactive reports, charts, graphs, and other visual representations. You will also learn Power BI tool, which will enable you to visualize and analyze data speedily and efficiently.

    Course Content

    Introduction To Power BI

    • This module will help you understand what Power BI is and understands its features and phases. Here you will know the components, architecture, and building blocks of Power BI.

    Power BI Desktop

    • This module gives you the information you need to start working with the Power BI desktop successfully. From Learning the concepts of Overview of Power BI Desktop, Connecting to a Data Sources, Query Editor, Ribbon to Report, data, and model, this module covers all.

    Data Transformation

    • Data transformation is converting the data from one format to another, and the process is part of data management tasks. You'll learn to clean, transform, and manage the data in the module.

    Data Modeling

    • Data modeling is the process of creating a simplified diagram of a software system. In this module; you will learn various data modeling concepts from the fundamentals to managing data relationships, cross-filter direction, and many-to-many.

    Data Analysis Expressions (Dax)

    • Data Analysis Expressions (DAX) is a programming language used throughout Microsoft Power BI to create calculated columns, measures, and custom tables. Hence, it is one of the most essential modules wherein you will learn the importance of DAX, DAX syntax, Data types, operators, DAX functions, queries, tables, and filtering.

    Data Visualization

    • The lesson will cover data visualization with Power BI. Concepts like bookmarks, And selection pane, KPI visuals, Z-Order, and much more are covered in the session.

    Power BI Dashboard

    • This lesson will begin with the introduction of the Power BI dashboard. Then it'll design the dashboard and make it interactive for the end-users.

    Power BI Service

    • Power BI Report Server is an on-premises report server with a web portal in which you display and manage reports and KPIs. Here you will learn report server basics, web portal, paginated reports, data gateways, and the concept of a scheduled refresh.

    Working With Dashboards

    • During this lesson, you will get in-depth insights into what dashboard is, hands-on training on building a dashboard, layouts, and formatting, interactive dashboards with actions, and designing dashboards for devices along with story points.

    Direct Connectivity In Power BI

    • Direct connectivity with Power BI helps in importing data and working on large datasets. The lesson will help you to learn live connections To Different Data Sources, Connection To SQL Azure, and much more.

    R And Python In Power BI

    • R and Python are both programming languages that can be used in Power BI. This lesson covers Python and R integration with Power BI and using its features in Power BI.

    Advanced Analytics In Power BI

    • This session will focus on advanced analytics of Power BI. Cluster Analysis, Outlier Detection, Creating Data Flow, introduction To Smart Narrative, and introduction To Sensitivity Labels In Power BI are covered in the lesson.
  • Data Analytics With Advanced Excel

    Enhance your analytical skills with Advanced Excel. You will learn to use different functions to explore the data for better insights at this stage. Plus, it includes hands-on exercises designed by an award-winning excel instructor.

    Course Content

    Overview Of Advanced MS Excel 2019

    • Excel helps you perform complex calculations, data analysis, and much more. In this module, you will know the application of excel and the different industry requirements of Excel.

    Data Formatting In Excel

    • In this lesson, you will learn how Excel Custom Number Format works, why it is important, and how to apply font, alignment, and number formatting.

    Basic And Advanced Data Sorting

    • The advanced sorting function is used to apply sorts on multiple columns in a report. You will learn how to sort by numbers, text, cell color, font color, cell icon, and custom list at this stage.

    Advanced Functions In Excel

    • Excel can store, maintain, and analyze data into useful information. And this is possible due to Excel's exceptional collection of advanced excel formulas and functions. In this lesson, you will master all of them, including math functions, text functions, conditional logical functions, and more.

    Advanced-Data Validation

    • This module aims at making you learn the advanced data validation techniques that can help you when you are modeling a complex worksheet. You will learn number, date, and time validation, formula-based validation, error message, circle invalid data, and more.

    Lookup And Reference Functions

    • Learn all about Excel's lookup & reference functions, such as VLOOKUP, HLOOKUP, VLOOKUP & HLOOKUP with exact match and approx match.

    Index Match

    • INDEX and MATCH is the most popular tool in Excel for performing more advanced lookups. Our experts will teach you Index functions, match functions, index with match, and how index match is different from Vlookup.

    Data Analysis With Pivot Table

    • Pivot tables enable data analysts to summarize large datasets into a concise and meaningful table. You will learn why Pivot Tables for Data Analysis, how to create, and navigate field lists, explore design options, and update them.

    Sorting, Filtering, And Grouping Data With Pivot Tables

    • Sorting, filtering, and grouping are important functions in Ms. Excel. Get Hands-On experience by learning the working of these elements with pivot tables in Excel.

    Charts And Graphs In Excel

    • The lesson will start with the introduction of various charts in Excel and will proceed with different types of charts. Charts like Line charts, Pie & Donut Charts, Clustered Bar charts, and much more will be covered.

    Data Analysis Case Study

    • After going through the concepts of data analysis, learners will come across the case study of data analysis to understand the concept more clearly.

    Excel Macros

    • Get hands-on training on how to create and use Macros, record them, run a macro with a button, edit Macro and learn practical uses of Excel Macro.

    Excel VBA

    • Learn VBA concepts, VBA variables, and creating functions in VBA, add Code To A VBA Procedure, understand Excel VBA Variables, building Logic With An IF Statement.
  • SQL With Data Science

    A Data Scientist needs SQL to handle structured data. By learning SQL with Data Science, you can become an inseparable part of the company. It is one of the hottest IT skills. With this skill, you can better communicate and extract data from databases.

    Course Content

    Introduction To DATABASE

    • This module explains databases, their uses, components, and examples of databases. You will also study database management systems and their history. Finally, you will see types of Databases.

    Introduction To SQL

    • This session will begin with a basic understanding of SQL, followed by RDMS, and Database and table. Finally, you'll also learn about different data types and functions also you'll be able to design your Database and implement data modeling and Queries.

    SQL Operators With Syntax

    • SQL operators have various types. This module teaches about the different types of operators like arithmetic, comparison, logic, etc.

    Working With SQL: Join, Tables, & Variables

    • Explore what joins and clauses are, and their types, tables, using joins in tables, work with the variables and queries, Entities and Relationships, DDL & DML Statement, and Functions. Learn theoretically and gain practical exposure too in the module.

    Writing Subqueries In SQL

    • A query that is present inside a statement is a subquery. In the module, you'll learn how to write, create, view, insert, delete or update the subquery in SQL.

    SQL Views, Functions & Stored Procedures

    • The module will teach you about views, managing and working with views, some user-defined functions, and finally, what stored procedures are with their working and benefits. Also, you will gain some practical exposure.

    Advance SQL Operations

    • After learning the above modules, this module will teach you some advanced SQL functions like Sorting, Grouping data together, Different key constraints, filters, and Various advanced functions query constraints will be covered in the module.
  • Programming Basics And Data Analytics With Python

    Data Science and Business Intelligence are technical fields. This part of the curriculum will help you gain knowledge of the basics of programming languages. Python is the most preferred programming language and is also the easiest to learn.

    Course Content

    Python Programming Fundamentals

    • Learn why Python is important and which industries work with Python. Get to know the application of Python in different industries and components of Python.

    Python Environment Setup And Essentials

    • Python is a high-level programming language that is used by highly professional as well as beginner learners. In the module, learn to install and set up the programming language, learn about commands,

    Data Analytics Overview

    • Learn how to convert raw data into usable format via data wrangling. Get thorough knowledge of exploratory data analysis, model development, model evaluation, etc.

    Statistical Computing

    • To understand all the concepts of Python clearly, it is important to learn about the fundamental of statistics. Understand the concept of descriptive statistics, inferential statistics, application of statistics, etc.

    Numpy For Mathematical Computing

    • Numpy is one of the libraries of Python that is used to work with arrays. Learn basic NumPy operators, arithmetic functions, etc.

    Data Manipulation With Pandas

    • Panda is a combination of two different libraries that is Matplotlib and NumPy. Learn various concepts in this module, such as DataFrame in Pandas, Series object in pandas, Loading and handling data with Pandas, and much more.

    Data Visualization With Python

    • Data visualization is the process of understanding data in visual form. Learn introduction to Data Visualization Tools, basic and specialized Visualization Tools, and advanced Visualizations in the module.
  • Introduction To ML & Dimensionality Reduction

    Get ahead in your career with a Machine Learning course. Learn the concepts of Machine Learning with expert mentoring and Hands-On projects. The course will help you to become Machine Learning Professional.

    Course Content

    Introduction To Machine Learning

    • Machine learning is a subset of AI used to make machines much more intelligent and make human work easier. The module begins with an introduction to the concept and other basics of ML.

    Types Of Machine Learning

    • After learning the basics of ML, learners will start with types of machine learning. All the types are supervised, unsupervised, semi-supervised, and reinforcement machine learning will be covered in the module.

    Feature Selection

    • Feature selection is selecting necessary and useful data for the machine learning model. The module will cover topics like how to select the feature selection model, working with feature selection in Python, and much more.

    Feature Scaling

    • Feature scaling is the process that is performed at the time of data processing that helps in normalizing all the individual values of the data. The module will cover different types of feature scaling and how this is helpful.

    Principal Component Analysis (PCA)

    • PCA is the process that reduces the dimensionality of data and makes it easy to plot it. The module covers how to apply the concept and what its uses are.

    Discriminant Functions

    • Discriminant functions are used to classify unknown data in a certain group. The module covers theoretical as well as practical topics of the concepts.

    Exploratory Factor Analysis (EFA)

    • EFA is the very first part of the data analysis process. The concept of Exploratory factor analysis is used to convert data into a smaller form for an easy analysis process.
  • Supervised Learning

    Supervised Machine Learning is the concept of ML and AI that deals with labeled data in the process. The whole module is dedicated to various concepts of supervised learning to make the learners understand this broad topic.

    Course Content

    Overview Of Supervised Learning

    • The first lesson in the module includes a basic understanding of concepts, types of supervised learning, real-life applications, and the flow of supervised learning algorithms.

    Regression In Supervised Learning

    • Regression is the process used to identify the relation between dependent and independent variables. Here in this lesson, you will learn what logistic and linear regression is.

    Decision Tree

    • As the name suggests, a decision tree is a tree like a flow chart where each brand depicts components like risks, cost, probability, etc. Learn decision tree formation and overfitting in the lesson.

    K-Nearest Neighbor And Support Vector Machine

    • The two most common machine learning algorithms are KNN and SVM. Both algorithms help in the classification of images. The lesson will cover all the related concepts, including the math behind both concepts.

    Naïve Bayes

    • Naive Bayes is a machine learning algorithm that is mainly used in the text classification process. Learners will learn accuracy metrics, confusion matrix, and cost matrix in the lesson.

    Hands-on Learning

    • This lesson is solely dedicated to practical and hands-on learning for implementing linear regression, logistic regression decision trees, KNN, and others.
  • Unsupervised Learning

    Unsupervised machine learning doesn't require labeled data to perform operations; it can work on unlabelled data sets. Due to this, unsupervised machine learning doesn't require human supervision. It is a very interesting topic that covers its exact meaning, clusters, principal component analysis, and much more.

    Course Content

    Introduction To Unsupervised Learning

    • Start your learning with the basic understanding of unsupervised learning. Learn unsupervised learning real-life applications, unsupervised learning flow, and types of unsupervised algorithms.

    Introduction To Clusters

    • Clusters help in grouping similar data by finding the similarity in the patterns. The lesson includes a deep understanding of clusters and an introduction to hierarchical clustering with the help of examples.

    Principal Component Analysis

    • PCA stands for principle component analysis that reduces the dimensionality of the data. The module will include the components, steps, and techniques of PCA in detail.

    Hands-on Learning

    • The lesson will cover all the topics covered about unsupervised learning. You will get hands-on training on topics K means clustering, hierarchical clustering, and PCA technique.
View more

Self-Paced Learning

Get access to high quality self-paced content curated by top industry experts. Here you will be exposed to the variety of concepts of Data Science and Business Intelligence, that you can learn at your own pace - anytime, anywhere.

  • Business Problem Solving, Data Visualization, And Insights

    Improve your abilities by developing a strong skillset in Business problem solving along with Data Visualization and Insights by covering descriptive statistics, predictive modeling, and probability distributions. Plus, it also includes real-time working on time series forecasting, Different Data Architecture strategies, Business Analytics, and many more skills to master.

    Course Content

    Various Business Domain

    • In this lesson, you will learn about various business domains for analyzing a company's business domain and its structure. Also, you will learn about the main differences between various business domains. It also includes the four main types of business domains to explore.

    Exploratory Data Analysis To Gather Insights

    • Data Analysis is a process of firstly examining and understanding the data and then extracting useful insights from that data. In this lesson, you will learn about two methods, i.e., graphical analysis and non-graphical analysis, for extracting actionable insights.

    Data Storytelling: Narrate Stories In A Memorable Way

    • By learning from this lesson, you can easily create world-class data stories that will show you engaging and beautiful data visualization and narratives, thus converting your data into a reliable source of format.

    Case Study

    • During this lesson, you will get in-depth knowledge on how you can easily develop insights from raw unstructured data. Also, there will be hands-on learning on many real-world data sets, projects, and many more.
  • Data Visualization With R

    Data visualization is the process of converting textual data into graphical form to gain insightful knowledge faster. The whole module will help you to get an understanding of charts, and histograms, with the help of the programming language R.

    Course Content

    Overview Of Data Visualization

    • Understanding data without graphics is difficult, and thus this module introduces you to the concept of data visualization. The module also covers ggplot 2 usage, bar charts, histograms, and plotting pie charts.

    Plotting, Mapping, And Customizing

    • After understanding the basic concepts, it's time to move to the next level of data visualization. You'll then be able to use different types of advanced charts, including geographical features like maps.

    Using Dashboard

    • Creating charts and graphs is as much important as displaying them. The module will help you to understand why dashboards are important and how to build one. Finally, you'll learn to generate reports from R.
  • Data Analysis with R

    R is the programming language that is used by introductory-level analyst jobs. The language helps in finding solutions for the given problems. The lessons below in the module will help you to learn important techniques of wrangling.

    Course Content

    Overview of Data Analysis with R

    • Data analysis comes into the picture when there's a problem that is required to be solved. R programming language comes with all the required tools to solve that problem.

    Data Wrangling

    • Data wrangling, also known as pre-processing of data is the processing of converting raw, unstructured data into an easily accessible format. The lesson will provide inside all the concepts of data wrangling with tools in R.

    Exploratory Data Analysis

    • Exploratory data analysis or EDA is the process of understanding and then summarizing the data to gain better insights. The module will help you to learn techniques for exploratory data analysis.

    Development Of Model In R

    • After managing your data, it is time to develop the model for your main analysis part. The learners will learn the techniques to understand and evaluate the results in the module.

Industry Projects

In this certificate program, you would also get real-life exposure through Industry Projects along with the mentorship from E&ICT Academy IIT Guwahati Faculty. These projects will be a part of your Certification in Data Science & Business Intelligence to enhance your knowledge. You will be working on real-world datasets under the guidance of world-class industry experts.

Certification from E&ICT Academy IIT Guwahati

This unique Data Science with AI Certification program is brought to you in collaboration with E&ICT Academy IIT Guwahati. The initiative of the Ministry of Electronics and Information Technology (MeitY), E&ICT Academy IIT Guwahati is formed with highly knowledgeable professors to offer quality education programs. With a curriculum co-created by E&ICT Academy IIT Guwahati professors, live classes from IIT Faculty and Industry Experts, gain the essential skills to master the field of Data Science and Business Intelligence.

  • Upon successfully completion of this course, you will:

    Receive an Advanced Certification in Data Science and BI from E&ICT Academy IIT Guwahati.

Career Assistance

Why Fingertips?

  • 2x Faster Career Growth

    We have a participative and activity-based learning mechanism to help you master the most in-demand skills that most of the top companies are looking for.

  • Real-World Projects

    You get hands-on exposure to industry-relevant live projects related to Data Science and Business Intelligence.

  • Doubt-Solving Sessions

    There is distinctive support for Non-Technical learners with regular doubt-solving sessions by industry experts.

  • Dedicated Program Manager

    A separate instructor i.e. a Dedicated Program manager will be with you to guide you during the entire certificate program.

  • 24/7 LMS Support

    Get access to a customized in-house portal, 24/7 accessibility, with integrated teaching assistance.

  • Career Support

    Thorough facilitation for personal mentorship, profile building, interview preparation,and follow-up after successful completion of the course.

View more

Success Tales

Binz Joshep
B.E (Computer Engineering) Data Scientist

From a fresher to an expert, it was the right decision to invest in this course. Fingertips upskilled me with expert learning and that too with a reasonable data science course fee.

Watch My Journey

Anil Rajput Data Scientist

I’m delighted to share that I enrolled with Fingertips for Data Science Program. The mentors are experienced in the field and provide industry-oriented learning. The course design is fit for learners from even non-technical backgrounds.

Watch My Journey

Prerana Niwadunge Data Analyst

The all-inclusive, learning journey with Fingertips was amazing. With expert trainers, Hands-on assignments, and case studies, I got an edge in the industry and had an advantage over others.

Watch My Journey

Parin Masuri
Mechanical Engineer Data Scientist

I had an amazing experience in learning Data Science from Fingertips. The support from the technical and career Assistance team was wonderful. According to me, Fingertips is the best option to learn this course from.

Watch My Journey

Bhumik Vyas
B.Sc Physics (Fresher) Data Scientist

I pursued a data science online course from Fingertips and it was a Hands-down the best experience. A special thanks to all the faculties at Fingertips for making my learning journey smooth.

Watch My Journey

Dhurti Vyasa
B.Sc Physics (Fresher) Data Scientist

Fingertips provide the best Data Science certifications that are valuable in the Industry. I gained theoretical as well as practical knowledge from the course and got Industry-ready with the faculty's guidance.

Watch My Journey

Khanjan Dhariya
Non-Tech Data Scientist

I got In-demand with Fingertips. A course designed according to the need of Industry, Fingertips have created Hands-down the most Ideal course in the Data Science Field. Also, the support team of Fingertips is ready to help the learners whenever needed.

Watch My Journey

Our Alumni Work At

Course Fees

*No cost EMI Option Available

Total Admission Fee

• 6 Months Program

• Certification from E&ICT Academy IIT Guwahati

• Online from Fingertips

• 100% Job Asistance

(excl. taxes)

Financing Partners

We have partnered with the following financing companies to provide no-cost EMI and competitive finance options with no hidden costs.

Frequently Asked Questions

Why should I take this Data Science and Business Intelligence course?

Data science and business intelligence are the most in-demand skills that top companies are looking for. This program is designed and co-created by FingerTips and E&ICT Academy IIT Guwahati in such a way that will help you master both these skills together. Irrespective of your educational background, if you’re interested in Data Science or Business Intelligence, you can enroll in our program. The course ensures that the learners gain skills required in the domain of Data Science and Business Intelligence.

What are the prerequisites for pursuing this course?

Data Science and Business Intelligence are technical concepts but still, an individual from Non-Tech background can get started with the course. A person who is graduated from any domain can pursue this course.

Can a fresh graduate seek employment after completing this Data Science and Business Intelligence course?

Due to high demand, any fresher who completes Data Science and Business Intelligence course with FingerTips can seek employment. FingerTips provide Hands-On Training to provide a competitive edge to the learners compared to other candidates.

What is Data Analytics?

Data Analytics is the process of studying the data and finding the trends and patterns if any in data. The concept is used in research and business to make informed and calculated decisions.

Who will teach this Data Science and Business Intelligence course?

In this program, you will learn from IIT Faculty and the top-notch data science and business intelligence industry experts. You will also have 1:1 interactive and doubt-solving sessions with experts. This certification program is designed to make you industry ready, wherein you will also get hands-on training with self-paced learning co-developed by the faculty of E&ICT Academy IIT Guwahati.

Is this Data Science and Business Intelligence course recommended for beginners?

Yes, beginners and freshers who graduated from any field can pursue this Data Science and Business Intelligence course. Trainers at FingerTips ensures that the course and concepts are clear to the learners from the basics so that beginners even from Non-Technical background can pursue the course.

What will be the duration of the campus Immersion?

Learners can visit the campus at E&ICT Academy IIT Guwahati, for a 2-day campus immersion session. Where you can learn from IIT Faculty and interact with your classmates. However, this is dependent on the pandemic and guidelines by the institute. This facility will be optional for the students; however, the cost of the two-day program will be borne by the learner.

How will be the certificate awarded?

After completion of the program and all the requirements, the learner will be awarded a certificate from E&ICT Academy IIT Guwahati.

What services are included under career assistance?

The learner will get 360° career assistance in profile building and interview preparation sessions from our industry experts. Also, it includes technical mock interviews conducted by experts’ panels followed by feedback for improvement.

How is data science used in business intelligence?

Data Science and Business Intelligence both aim to make sense of data to support the decision-making process of the organization. While Business intelligence focuses on historical data to interpret past trends, Data Science uses that data to predict future outcomes and possible trends.

Why data science is so popular?

The reason behind Data Science’s popularity is the amount of data. The data produced and stored is huge due to development in technology. Also, Data Science is popular due to its applicability to almost all industries be it supermarkets, finance, transport, and many more.

What is Data Science & why is it important?

Data Science is the next booming field that extracts insightful information through huge datasets. It searches through data to find any pattern and convert it into insights. The concept is important because the companies have huge sets of data either structured or unstructured which needs filtering. Data science helps to make sense of data and finally helps in the decision-making process.

What is the future of Data Science?

Well, according to certain experts, the rise of machines and data in the coming years will lead to a boom in the field of Data Science. Various business fields like telecom, e-commerce, social media, and many others will generate huge data and thus would require Data Science professionals to make sense out of that data.

How data science and business intelligence work together?

The concept of Business Intelligence helps to make sense of past data. On the other hand, Data Science analyses past data and make necessary future predictions. Business intelligence looks backward and identifies past and current trends which help to make future predictions via Data Science.

What is the concept of Business Intelligence?

Business Intelligence is the process that involves collecting, storing, and analyzing the data produced by companies at all levels. The data is used to identify past and current patterns. With this certification course, you’ll be able to learn the concept of Data Science and Business Intelligence.

How data science helps business?

The idea behind applying the concept of Data Science is to solve complex business problems with the help of data. With data science applications in business, one can improve products and services, detect bugs at an early stage, and identify the areas for improvement, identify risks and avoid them.

What is the admissions process?

Candidates can apply to this Data Science and Business Intelligence Certification Program in 4 simple steps. Selected candidates will receive an offer of admission, after admission fee payment.
1. Submit Application:
Tell us about yourself and why you want to join this certification program.
2. Interview:
Clear a telephonic interview with an industry expert and an admission test.
3. Application review:
Our admission panel will shortlist candidates based on their application.
4. Admission:
Shortlisted candidates will receive an offer of admission.

What is the refund policy for this program?

As per the policy, 20% of the course fee is kept aside as a non-refundable amount. The remaining 80% will be finalized on a pro-rata basis i.e based on the 3 months option selected by you. Kindly refer to our Refund Policy for more details.

View more