About the Program
In this fast-growing pace of the IT industry, every professional or fresher has an aspiration to get into a dream job and become successful immediately after completing graduation. The only challenge they face is to select the skill which is best suitable, in-demand, and full of opportunities amongst many IT Technical Skills.
EduBridge’s Job Guarantee Program in Data Analytics is the perfect solution for fresh graduates and working professionals. Data Analytics is one of the most challenging but in-demand skill. Data Analytics helps businesses to optimize their performances and plan business strategies. Considering the increased demand for Data Analytics Professionals in various sectors, this dynamic program is designed to transform aspirants into Data Analytics professionals.
Our mission is to build a workforce required for the IT industry with strong technical and professional skills. One can collaborate, learn and develop real-time case studies with trending technologies, through industry-based Capstone Projects. Our main focus is to provide the ways of expertise for freshers as well as professionals to develop and to grow in this competitive industry.
This is the program where you will be trained with data visualization tool Tableau, Big Data management platforms - Spark and Scala, Programming languages - Python and R, Machine learning and predictive analytics along with software like SAS. The entire content provides you with the comprehensive theory and practical knowledge driven by highly qualified professionals from the Data Science spectrum.
With the help of our carefully curated training programs, you will be professionally groomed and have your skill sets enhanced. This will be done through hands-on projects, practical assignments, case studies, communication skills, aptitude skills, resume writing sessions, mock tests, assessments and interviews.
The program will develop your understanding of the industry and business through guest lectures and industry immersion events. Our industry experts will help you hone your corporate communication & writing skills for a smooth transition from academics into the industry. You will learn the techniques of teamwork through collaborative projects and in-class assignments.
Our dedicated placement team will keep a tab on your interview progress and if required devise a plan for areas of improvement to get employed. They will work with you during the course and will provide 1 on 1 mentorship. All we need is your 100% attendance and focus during the entire training and counselling session.
Take a step forward and shape your career with our career acceleration program with guaranteed placement.
This course will,
- Help you become a master in Data Analytics along with Excel, R and Python
- Enhance your knowledge in SAS, which is the most widely used Software for analytics
- Assist you in using the VBA programming language and Tableau in analytics effectively, which is one of the most in-demand data visualization tools
- Introduce you to Machine Learning with Python and build projects like E-mail Spam classifiers, Churning Inbox and Noise removal from images along with a capstone project based on the dashboard
- Develop your interpersonal skills and aptitude skills to become industry and placement ready
We hope that you will gain the required knowledge from this program and demonstrate the skills learnt.
All the best!
Course Outcomes
EduBridge's 110% Money Back Job Guarantee Courses are designed to ensure that you are guaranteed a job after
successful completion of the training course, else we refund 110% of the fees.
Manager
that you will get a job
Manager
Career Mentoring
experienced industry professionals
who guide you on the career path
that’s right for you
Career Mentoring
Profile Review
your LinkedIn profiles stand out
from the crowd
Profile Review
your LinkedIn profiles stand out
from the crowd
Job Portal
opportunities from top
organizations in India available on
EduBridge’s in-house job portal
Job Portal
Lectures
connect you with the best recruiters in the Industry
Lectures
connect you with the best recruiters
in the Industry
Builder Service
job profile you are applying for.
Builder Service
job profile you are applying for
Let’s understand how Edubridge makes you
job ready!
job ready!
Develop crucial
job-related skills
job-related skills
Business Acumen
Gain a deep understanding of the industry and business through our guest
lectures and industry immersion events.
Time Management
Navigating through the extensive courses and projects will help you build the
ability to prioritize tasks efficiently.
Domain Know-How
All our courses are domain-focused and develop your skills with prevalent
tools and technologies of the industry.
Let’s understand how Edubridge makes you
job ready!
job ready!
Sharpen your
employability skills
employability skills
Communication
We help you hone your corporate communication & writing skills to smoothly transition from academics into the industry.
Aptitude Skills
Sharpen your skills with our Aptitude for Job Seekers course which is a pre-employment test prep course made fun by our expert Master Trainers.
Teamwork
Our collaborative projects and in-class assignments leave you with no choice but to adapt and work well in teams.
Networking Ability
Our industry mentors will guide you in job-search and networking and help you strengthen your professional network.
Let’s understand how Edubridge makes you
job ready!
job ready!
Become a professional
Problem Solving
We help you build a logical and analytical mindset through case study and projects based on real industry scenarios.
Perseverance & Motivation
Professional life has its challenges and we prepare you to face them well through programs that are closely aligned with the industry.
Minimum Eligibility
After completion of this module learners will be able to describe and discuss the key terminology, concepts tools, and techniques used in business statistical analysis They can also compare the descriptive and inferential statistics. They will understand the importance of probability theory in the design and development of machine learning algorithms.
Slideshow: Statistics and probability for Data AnalyticsAfter completion of this module, learners will be able to define data analytics and describe types of data analytics. They will also be able to select the most suitable analytics method from prescriptive and descriptive depending upon the problem statement requirement.
Slideshow: Data analytics overviewInterdisciplinary Group Formation
Slideshow: Capstone Project Discussion 1After completion of this module learners will be able to write, evaluate and execute python programs.
Slideshow: Data Analytics with PythonThis module will aim at introducing you to the concept of computers. This will also cover computer security which is used for saving data and information for different attacks.
Slideshow: Introduction to Digital Skills & Computer FundamentalsLiterature Survey
Slideshow: Capstone Project Discussion 2After completion of this module, learners will be able to use advanced python libraries NumPy and Pandas to perform statistical analysis of data. They will also learn to use these libraries to perform data cleaning, wrangling, and visualisation operation.
Slideshow: Advanced python libraries for Anlytics and Machine learningProject Overview
Slideshow: Capstone Project Discussion 3After completion of this module learners will be able to write, evaluate and execute simple R programs for statistical analysis of data. Learner will also learn to perform mathematical operations with the help of R and understand the strength of R language in performing mathematical calculations
Slideshow: R for AnalyticsAfter completion of this module learners will study predictive analytics with the help of case studies and analyze their implementation using R language.
Slideshow: Predictive analyticsMethodology and Implementation
Slideshow: Capstone Project Discussion 4After completion of this module learners will be able to differentiate between supervised and unsupervised machine learning. They will also learn to select appropriate machine learning algorithm as per the problem statement and data set used
Slideshow: Introduction to machine learning and its algorithmsAfter completion of this module, learners will be able to implement machine learning algorithms They can also use data sets for implementation of machine learning algorithms.
Slideshow: Handson Machine learningAfter completion of this module learners will be able to use Excel for data analysis. Learners will also get an overview of EXCEL analytics and will learn to develop visualisation with EXCEL
Slideshow: Excel AnalyticsImplementation 2
Slideshow: Capstone Project Discussion 5After completion of this module learners will be able to create and edit macros by writing VBA code in the VBEThey will also learn to Build user-defined functions in Excel.
Slideshow: Use of VBA for ExcelImplementation 3
Slideshow: Capstone Project Discussion 6After completion of this module learners will be able to use SAS studio for data analytics
Slideshow: SAS Analytics-OverviewResults and Conclusion
Slideshow: Capstone Project Discussion 7After completion of this module learners will be able to use Tableau as a data visualisation platform. They will be able to design, develop and demonstrate created visualisation.
Slideshow: Data visualisation with tableau excel and pythonScala combines object-oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries.
Slideshow: ScalaAfter completion of this module learner will be able to do core spark programming
Slideshow: SparkDemo and viva voce
Slideshow: Capstone Project Discussion 8In this module, trainer will conduct Mock Interview for students. Trainers to also share the tips for technical interviews.
Slideshow: Mock Interview - Advanced IT 1.1A number system is a system representing numbers. It is also called the system of numeration and it defines a set of values to represent a quantity. These numbers are used as digits and the most common ones are 0 and 1, that are used to represent binary numbers.
Slideshow: Quantitative - NUMBER SYSTEM 1.1Percentage is a fraction or a ratio in which the value of whole is always 100. Percentage is defined as a given part or amount in every hundred. It is a fraction with 100 as the denominator and is represented by the symbol "%".
Slideshow: Quantitative - PERCENTAGE 1.1Simple interest and compound interest are basic financial concepts, becoming thoroughly familiar with them may help you make more informed decisions when taking out a loan or investing. This module will help you to learn more about simple and compound interest
Slideshow: Quantitative - SIMPLE INTEREST & COMPOUND INTEREST 1.1In this module you will get to know in detail about Profit and loss term. To understand where are these terms used to identify whether a deal is profitable or not.
Slideshow: Quantitative - PROFIT & LOSS 1.1In this module you will learn about how to use different formulae of time, speed and distance. You will practice more on various questions for these concepts.
Slideshow: Quantitative - TIME SPEED & DISTANCE 1.1In this module you will learn about how to use different formulae of time and work. You will practice more on various questions for these concepts.
Slideshow: Quantitative - TIME & WORK 1.1In this module you will learn about when to implement formula of permutation, combination and probability. You will practice more on various questions for these concepts.
Slideshow: Quantitative - PERMUTATION COMBINATION & PROBABLITY 1.1CODING-DECODING is an important part of Logical reasoning section in all aptitude related examinations. In this module you will all different ways of coding and decoding techniques.
Slideshow: Logical Reasoning - CODING & DECODINGData arrangement puzzles assess a person's ability to comprehend complex data and filling out the information gaps using the given clues.
Slideshow: Logical Reasoning - DATA ARRANGEMENTSIn this module you will learn how to interpret a data in form of visuals, like table, graph, chart, etc. and a set of questions that follow. This is mainly used as percentage, ratio or proportion.
Slideshow: Logical Reasoning - DATA INTERPRETATIONIn this module you will learn how deductive reasoning moves from generalities to specific conclusions. It allows you to take information from two or more statements and draw a logically sound conclusion.
Slideshow: Analytical Reasoning - SYLLOGISMS, INDUCTIVE & DEDUCTIVE REASONINGIn this module you will learn how to solve logical reasoning questions by representing the given question in graphical form to understand and to get the right answer. This method is called as Visual Reasoning.
Slideshow: Analytical Reasoning - VISUAL REASONINGThis module enhances your understanding of the purpose of professional interviews.
Slideshow: Interview skills for success with Mock InterviewsIn this module, you will develop your understanding about the demands of the workplace and the rights and responsibilities of both the employee and employer.
Slideshow: Workplace Readiness- Introduction to the understanding of jobIn an age when the business environment is turbulent in terms of competition, new technologies, political instability, workforce diversity, the need for good communication skills is being increasingly felt by mangers at all levels. In this module, the participants will be able to learn why communication is necessary
Slideshow: Introduction to Advanced Communication Skills (AL)Good business etiquette is a valuable skill-set that will make you stand out from others, enhance your chances at success, and help you land that dream job. This module will aim at making you understand the importance of etiquette for better growth prospects.
Slideshow: Personality and Professionalism (AL)In this module, you will learn what is Resume Builder feature and how to create customized resume.
Slideshow: Resume BuilderProblem Statement: A bike-sharing system is a way of renting bicycles; bike return is automated via a network of landmark locations throughout a city. Using these systems, people are able to rent a bike from one pick-up location and combine it with their as-need, customer returns the bike to the place, which they would prefer to return. Algorithms like decision tree regressor, Linear Regression, Random forest regressor are used with sci-kit-learn so as to identify the best forecasting algorithm for the problem statement.
Problem Statement: Life expectancy is a statistical measure of the average time an organism is expected to live based on the year of its birth, its current age, and other demographic factors including sex. Given dataset comprises different factors which affect life expectancy. Through this project, we are going to build a multiple regression model using training data set and predict the life expectancy of an individual depending upon the factors discussed above.
Problem Statement: To predict the profit of the organization it?s important to analyze an expenditure or spending of the company. This designed model will not only predict the profits to be gained but also will help in the decision-making of the organization.
EduBridge’s programs are designed to offer learners a pathway to placements and its certificate is an official credential for the learners.
Learners must have 85% of attendance in training program and 100% of attendance in placement counselling sessions.
On satisfying the attendance criteria and by successfully clearing the assessments with a 50% score and above, learners will be awarded a Certificate of Achievement.
preference
Fee
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Though not mandatory, it is beneficial to have basic coding skills when learning or working as a Data Analytics professional.
Yes. The course offers real time coding problems and assessments that will help the learners get an hands-on-experience of the course contents and help them master the various concepts of Data Analytics
Yes, you can sign-up for the Data Analytics course even if you do not come from a technical background. However, having basic knowledge of programming languages and mathematics would be beneficial.
Yes. This Data Analytics course will teach you the fundamentals of programming languages, statistics, and industry standard techniques from scratch to build up your foundational knowledge and enhance your analytics career journey.
R, SAS, Python, and Apache Spark with Scala are the predominant languages used by Data Scientists and Data Analysts. Tableau, Excel, and QlikView are the most popular and effective analytics tools.
Data Analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
Data Analysis is the process of cleaning, transforming, and modeling data to find meaningful insights and make better decisions. In contrast, Data Analytics is a broad term that involves many diverse types of data analysis.
A Bachelor’s degree, preferably in Mathematics, Statistics, Computer Science, or related fields is with a minimum of 50% (or higher) if required for anyone to enroll in this course. Being familiar with Statistics, core Math concepts, programming basics (Python, R, or Java), and Linux fundamentals would be an added advantage.
The following topics will be covered in this course : - Core Python & Advanced Python - Advanced Excel - R Programming - SAS - Tableau - Statistics
Excel is used in data analysis because it’s easy to learn and use. Its functions like vlookup, xlookup, pivot table, analysis tool pack make it the most widely used tool by any analyst position like data analyst, business analyst, business intelligence analyst.
R in data analytics is used to handle, store and analyze data As a programming language, R provides objects, operators, and functions that allow users to explore, model, and visualize data. It can be used for data analysis and statistical modeling.
Organizations view Data Analysis as one of the most crucial job specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in Data Analytics, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities. By 2022, the World Economic Forum predicts that Data Analysts will be one of the top emerging jobs.
Tableau is a powerful and versatile data analytics and visualization tool. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories.
