Anybody can take this regardless of prior skills. Knowledge of statistics and mathematics is beneficial.
The average salary for a Data Scientist in San Francisco stands at $140,000 – indeed.com
The Silicon Valley has no shortage of tech companies that are ready to offer over the top salaries when it comes to hiring top-notch Data Scientists and data analysts. Due to this when compared to other cities, San Francisco offers the best salary in the United States. You can grab these jobs by enrolling for Data Science bootcamp like Intellipaat.
Since it is the technology hub of not just the United States but the entire world the domain of Data Science is really begin to heat up thanks to the biggest IT companies plus the next billion dollar start-up companies that are in a mad scramble to recruit the best talent there is in the domain of Data Science at astronomical salaries.
Taking the Intellipaat Data Scientist training will ensure that you are in a position to land your dream job due to the entire training being in line with what the industry is expecting. At the Intellipaat Data Science academy, the entire training focuses more on the practical aspects rather than mastering the theoretical concepts. Thus you will be in a position to get hands-on experience in the field of Data Science putting you perfectly in a position to work for the best companies as a Data Scientist.
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 : 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 3 : Cold Start Problem in Data Science
Industry : Ecommerce
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 4 : 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:
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.
A renowned Data Scientist who has worked with Google and currently working at ASCAP. Samanth has a proven ability to develop Data Science strategies that have a high impact on the revenues of organizations. He comes with strong Data Science expertise and has created decisive Data Science strategies for Fortune 500 Corporations.
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