This training course covers following topics:
Information Architects, Data Sceince Professionals, Statisticians, Big Data Analysts, BI Professionals, Machine Learning Experts as well as newly graduates can opt this training course.
There is no prerequisite for taking up this course however, a fundamental knowledge of Statistics and Mathematics will give you an upper hand.
The Indian start-ups are paying approximately Rupees 10.8 Lakhs to the Data Scientists which is much higher than the Large corporations. It proves the heavy demand of Data Scientists in the country. Data Science being the trending stream across the globe, countless job opportunities have emerged in Indian technology market opening numerous avenues for the aspirants.
Information Technology sector in India has seen immense growth over the years. It contributes around 9.5% of the total GDP of the nation. It is clear from this stats that market of technology is booming and creating a myriad of high-paying jobs for skilled data science professionals.
Data Scientist Certification Training Course offered by Intellipaat is perfectly in line with the Cloudera Certification exam. Each module of this course ends with labs and assignments along with real-life projects at the end dedicated to improve your Data Science Skills.
Introduction to Data Science, Use cases, Need of Business Analytics, Data Science Life Cycle, Different tools available for Data Science
Installing R and R-Studio, R packages, R Operators, if statements and loops (for, while, repeat, break, next), switch case
Importing and Exporting data from external source, Data exploratory analysis, R Data Structure (Vector, Scalar, Matrices, Array, Data frame, List), Functions, Apply Functions
Bar Graph (Simple, Grouped, Stacked), Histogram, Pi Chart, Line Chart, Box (Whisker) Plot, Scatter Plot, Correlogram
Terminologies of Statistics ,Measures of Centres, Measures of Spread, Probability, Normal Distribution, Binary Distribution, Hypothesis Testing, Chi Square Test, ANOVA
Supervised Learning – Linear Regression, Bivariate Regression, Multiple Regression Analysis, Correlation ( Positive, negative and neutral), Industrial Case Study, Machine Learning Use-Cases, Machine Learning Process Flow, Machine Learning Categories
What is Classification and its use cases,? What is Decision Tree,?Algorithm for Decision Tree Induction, Creating a Perfect Decision Tree, Confusion Matrix
Random Forest, What is Naive Bayes?
Project 1 : Augmenting retail sales with Data Science
Industry : Retail
Problem Statement : How to deploy the various rules and algorithms of Data Science for analyzing stationary store purchase data.
Topics : In this project you will deploy the various tools of Data Science like association rule, Apriori algorithm in R, support, lift and confidence of association rule. You will analyze the purchase data of the stationary outlet for three days and understand the customer buying patterns across products.
Project 2 : Increasing revenues of a retail enterprise using Data Science tools
Industry : Retail
Problem Statement : How to successfully convert visitors into buyers for retail enterprise
Topics : In this Data Science project you will learn how to reduce the churn rate, recommend the right items for the customers for the ecommerce website and place the right products in the physical store. You will learn how to optimize the limited budget for marketing using the right Data Science techniques.
Project 3 : Analyzing pre-paid model of stock broking
Industry : Finance
Problem Statement: Finding out the deciding factor for people to opt for the pre-paid model of stock broking.
Topics:In this Data Science project you will learn about the various variables that are highly correlated in pre-paid brokerage model, analysis of various market opportunities, developing targeted promotion plans for various products sold under various categories. You will also do competitor analysis, the advantages and disadvantages of pre-paid model.
Project 4 : Cold Start Problem in Data Science
Problem Statement: how to build a recommender system without the historical data available
Topics: This project involves understanding of the cold start problem associated with the recommender systems. You will gain hands-on experience in information filtering, working on systems with zero historical data to refer to, as in the case of launching a new product. You will gain proficiency in working with personalized applications like movies, books, songs, news and such other recommendations. This project includes the various ways of working with algorithms and deploying other data science techniques.
Project 5 : Recommendation for Movie, Summary
Topics : This is real world project that gives you hands-on experience in working with a movie recommender system. Depending on what movies are liked by a particular user, you will be in a position to provide data-driven recommendations. This project involves understanding recommender systems, information filtering, predicting ‘rating’, learning about user ‘preference’ and so on. You will exclusively work on data related to user details, movie details and others. The main components of the project include the following:
Project 6 : Making sense of customer online buying pattern
Industry : ecommerce
Problem Statement : An ecommerce company wants to know how to deploy targeted selling to its customers
Description : This Data Science project involves learning from the customer buying habits and selling them the products that they need. As part of the project you will aggregate, cleanse, transform and load the data of customer buying history. Then you will deploy statistical analysis, predictive modeling and create profiles of customers to implement targeted selling to them.
Project 7 : Fraud Detection in Banking System
Industry : Banking and Finance
Problem Statement : A major bank wants to deploy data science to detect fraudulent activities and take remedial actions before it is too late
Description : This data science project will help you understand how you can look for fraudulent activities in a banking ecosystem. You will work with banking transactional data, look for outliers in the data, classify this data based on various parameters, apply statistics and come up with inferences to look for rogue transactions and mitigate the risk before it is too late.
The Market Basket Analysis (MBA) case study
This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
Intellipaat provides the best Data Science training for professionals looking to master this exciting and challenging field. In this training course you will learn about Data Science, methods of data acquisition, project life cycle, deploying machine learning and statistical methods along with studying about Apache Mahout, data transformation and working with recommenders.
You will be working on real time projects that have high relevance in the corporate world, step by step assignments and curriculum designed by industry experts. Upon completion of the training course you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees. Hence it is clearly a one-time investment.
This course is designed for clearing the Intellipaat Data Science Certification Exam. The entire training course content is designed by industry professionals to get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.
At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.
Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
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