Wissenhive's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.Download Syllabus
Wissenhive's in-depth workshop on Data Science with R will help you master R and use its inbuilt functions and libraries for creating applications and programs for data science. R is a much preferred program because of its robustness, flexibility and ease of coding. Its various techniques such as clustering, time-series analyses and classification techniques, nonlinear/linear modelling and classical statistical tests make it apt for use in the field of statistical computation and data science.
On completing R and knowing the fundamentals of Data science, you can aim for a rewarding career in data science. Since the evolution of big data, data science and data analysis have become the most sought after career paths because of the huge demand for data science professionals. Not only high profile technology companies such as Google and Facebook but companies across sectors are hiring data scientists who can generate business and solve complex data related problems. This is the perfect course for you to step into the world of data science and make a career in what has been rated as the best job in America by Glassdoor.com
|What is Data Science?||15:31||Play|
|Life Cycle of a Data Science Project||15:32||Play|
|Data Science Tools & Technologies||15:32||Play|
|Introduction to R Programming||15:33||Play|
|Installing and Loading Libraries||15:33||Play|
|Data Structures in R||15:33||Play|
|Control & Loop Statements in R||15:33||Play|
|Functions in R||15:33||Play|
|Loop Functions in R||15:33||Play|
|String Manipulation & Regular Expression in R||15:33||Play|
|Working with Data in R||15:33||Play|
|Data Visualization in R||15:33||Play|
|Measures of Central Tendency||15:35||Play|
|Measures of Dispersion||15:35||Play|
|Linear Regression (OLS)||15:37||Play|
|Case Study: Linear Regression||15:37||Play|
|Principal Component Analysis||15:37||Play|
|Case Study: PCA/FA||15:37||Play|
|Case Study: Logistic Regression||15:38||Play|
|K-Nearest Neighbor Algorithm||15:38||Play|
|Case Study: K-Nearest Neighbor Algorithm||15:38||Play|
|Case Study: Decision Tree||15:38||Play|
|Understand Time Series Data||15:39||Play|
|Visualizing Time Series Components||15:39||Play|
|Holt's MoHolt-Winter's Modeldel||15:40||Play|
|Case Study: Time Series Modeling on Stock Price||15:40||Play|
Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
No examination required.
Towards the end of the course, you will be working on a project. on successful completion, Wissenhive certifies you as a 'Data Science Expert' based on the project.
If you have a Windows system, you should have:
If you have a MAC system, you should have:
For executing the practicals, you will set-up R programming IDE on your machine, you can:
The detailed step by step installation guides will be present in your LMS which will help you to install and set-up the required environment. In case you come across any doubt, the 24*7 support team will promptly assist you.
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.