Data Science With R Full Course 2022 | Learn Data Science With R | Data Science | Simplilearn

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In this video on Data Science with R full course, you will learn data science with R in 6 hours. You will understand data science and the packages in R. We will also cover data science algorithms like linear regression, logistic regression, decision trees, and random forest to name a few. Finally, you will get an idea about the career of a data scientist.

Below are the topics we are going to cover in this data science video:
Data Science in 5 min
Data Science Concepts
Data Manipulation in R
Linear regression
Logistic Regression
Decision Tree
Random forest in R
Support Vector Machine
What is Clustering
Time Series Analysis
Who is a Data Science Engineer?
Resume of a Data Science Engineer

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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