StepLeaf'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.
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StepLeaf’s Data Science Certification Training using R gives an good exposure and hands-on in installing R/R Studio and R package, computations in R, Graphs, continuous and categorical variables, treating missing values, feature engineering, Label encoding / One Hot encoding, Linear Regression, Decision Tree and Random Forest.
This course is a benchmark for you to build a complex model in ease. It helps you to learn uncanny things and a good threshold to work with.
• Understand the lifecycle of Data Science
• Ability to work with Machine Language Techniques
• Tackle real-world data analysis project in ease
• Ability to do Text mining and Sentimental analysis with data
• Handle all domain’s data with much accuracy
Why should you go for a Data Science Course?
For every organization, a Data Scientist is the one who organizes large data sets, identifies the business clients and is helpful for marketing. They leverage the data and information which helps in building good growth strategies. Data Scientists bloom in every field in which they work and they have the unbeaten salaries around the world.
Who should take up this Certification Course?
StepLeaf’s Data ScienceTraining Course is mainly preferred for Analytics Manager, Software Developers, Business Analytics, Integration specialists, Information Architects and ‘R’ professionals.
What are the prerequisites for this course?
Little knowledge in the basics of R programming will explode your learning into a masterpiece.
associationrules, datascience, dataextraction, k-meansclustering, deeplearning, r, timeseries, forecasting, textmining, c-meansclustering, canopyclustering, hierarchicalclustering, ewranglingandexploration, statisticalinference
Learning Objectives - Get an introduction to Data Science in this module and see how Data Science helps to analyze large and unstructured data with different tools.
Structure your learning and get a certificate to prove it.
What are the system requirements for our Data Science Certification Training using R?
1. Microsoft Windows 7 or later versions (32 bit and 64 bit)
2. 2GB memory
3. Intel Pentium 4 or later versions
4. Microsoft Server 2008 R2 or later versions
How will I execute my practicals?
The Case Studies are executed using RStudio. The necessary instruction will be given by our StepLeaf instructor to execute all the assignments.
What are the Case studies for this course?
Domain: Entertainment Industry
In the bookmyshow application, collect the dataset using the parameters like movie name, duration, collection, budget, rating etc., Analyse the following ideas
1. Find the top rated films based on IMDB rating
2. Find the top rated films based on collections
3. Find the top rated films based on social media likes
4. Group the films based on directors, actors, genre etc.,
Domain: Business Intelligence
In a real estate business, collect the dataset and analyse the population in an area, area value, income of the people living, age etc.,
In a Nursing Home, collect the dataset and analyse various parameter of each patient and give analysis of the baby and the patient about their health
Domain: Food Industry
In a supermarket, collect the dataset and analyse each items price, manufacturing data, expiration date, number of available products, number of moving products etc., Analyse the data and give a proper business strategy for its growth.
StepLeaf uses a blended learning technique which consists of auditory, visual, hands-on and much more technique at the same time. We assess both students and instructors to make sure that no one falls short of the course goal.