Data Science is an interdisciplinary system about processes and methods to extract expertise or observations from data in several forms, sometimes structured or unstructured, which is a continuation of a number of the data analysis systems for example data mining, analysis, and predictive analytics, much like Knowledge Discovery in Databases. Data science implements tactics and hypotheses drawn from many fields in the broad areas of mathematics, chemo metrics, statistics, computer science and information science, including signal processing, machine learning, probability models, data mining, statistical learning, database, data engineering, learning and pattern recognition, predictive analytics, visualization, uncertainty modeling, data compression, computer programming, data warehousing, high performance computing and artificial intelligence.
|Course Name||Data Science / R predictive Analytics Online Training|
|Contents||Basics of Data Science, manipulations, statistics , machine learning etc.|
|Duration||70 Hours with Flexible timings|
|Delivery||Instructor Led-Live Online Training|
|Ideal For||Freshers, aspirants seeking to learn theData Science|
|Next Batch||Please visit the schedule section|
- Deep understanding of the Roles of a Data Scientist
- How to use R, Hadoop and Machine Learning to analyze Big Data
- Understand the Life Cycle of Data Analysis
- Learn the techniques and tools for data transformation
- Understand Data Mining techniques and their implementation
- How to use machine learning algorithms in R to analyze data
- Understanding of data optimization and visualization techniques
- Understand the parallel processing features in R
- No Pre-requisites are required.
MODULE 1 : INTRODUCTION TO DATA ANALYTICS
- Origin of R
- Downloading & Installing R, R Studio
- Interface of R-
- R Components.
MODULE 2: DATA INPUTTING IN R
- Data Types, Data objects & Data structures
- Creating a vector & Vector operations
- Sub setting
- Writing Data
- Reading Tabular data files
- Reading CSV data files
- Initializing Data frame
- Selecting Data frame columns by position and name.
- Redirecting R output.
MODULE 3: DATA MANIPULATIONS IN R
- Appending data to a vector
- Combining Multiple Vectors
- Merging data frames
- Data Transformation
- Control structures
- Nested loops
- String and Dates
- Handling NA and missing values
- Matrices & Arrays
- Functions in R
- Logical operators
- Relational operators
- Generating Random Variables
- Accessing Variables
- Matrices multiplication
- Managing subset of data
- Data Aggregation
- Multiple Aggregations
- 4 Control Structures, Functions
- Looping on Command Line
- Plotting – Base Graphics
- Plotting – Lattice Graphics
- Plotting – Mathematical Annotations
- Plotting & Color
MODULE 4: UNIVARIATE ANALYSIS
- Measure of central tendency
MODULE 5: MULTI VARIATE ANALYSIS
- A brief Introduction of Machine learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning
MODULE 6: REGRESSION MODELS
- linear regression models
- Non Linear regression models
- Regression models using Excel
MODULE 7: FACTOR ANALYSIS
- Introduction to PCA
- Association Rule mining
- Market basket analysis
MODULE 8: TREE MODELS
- Decision Tree
- Random forest
- Time series / forecasting.
keen Technologies basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises.
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. keen Technologies also verifies their technical background and expertise.
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.
You will work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready.
Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
The Training itself is Real-time Project Oriented.
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
There are some Group discounts available if the participants are more than 2.
As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, India and other parts of the world.
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