Data Science With R

Data science is a research field that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data science. These systems then generate insights that analysts and business users can translate into tangible business value.

2,536 students enrolled

What you’ll learn in This Course?

  •  Data Visualization and Power of Tableau
  •  Architecture of Tableau
  •  Working with Metadata and Data Blending
  •  Creation of Sets
  •  Working with Filters
  •  Level Of Detail (LOD) Expressions in Tableau
  •  Geographic Visualizations in Tableau
  •  Data Visualization and Power of Tableau
  •  Architecture of Tableau
  •  Working with Metadata and Data Blending
  •  Creation of Sets
  •  Working with Filters
  •  Level Of Detail (LOD) Expressions in Tableau
  •  Geographic Visualizations in Tableau

Description:

About Data Science?

Data science can be defined as the fusion of mathematics, business awareness, tools, algorithms, and machine learning techniques. All of these can help you find hidden insights and patterns from the original data. These insights and patterns are of great help to the formation of large companies. IBM is recognized as a leader in the Magic Quadrant for Data Science and Machine Learning in 2021 students will learn integrated blended learning and become experts in the fields of artificial intelligence and data science. This data science program works with IBM to enable students to solve artificial intelligence and data science tasks in the industry.

Data scientists are in short supply. Data scientists understand business issues, design data analysis strategies, collect and format the data they need, use the right tools to apply algorithms or techniques, and make data-supported recommendations. Need to be created.

We provide real time instructor job oriented online training with PYTHON, Datascientist with R  in-depth knowledge on Data Science, real-time analytics, statistical computing, SQL, parsing machine-generated data and finally the domain. In data science training, you can use R to gain expertise in machine learning algorithms, such as K-Means clustering, decision trees, random forests, and Naïve Bay. Data science training includes an overview of statistics, time series, text mining concepts and deep learning. Throughout the data science curriculum, we will implement practical use cases

 

How do you use Data Science for beginners?

  1. Connect to your data
  2. Drag and drop to take a first look
  3. Focus on your results
  4. Explore your data geographically
  5. Drill down into the details
  6. Build a dashboard to show your insights
  7. Build a story to present
  8. Share your findings

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Data Science Course Demo Video

1
Data Science Training Demo Video

Data Science With R Course Content

1
Introduction to Data Science with R
2
Data Exploration
3
Data Manipulation
4
Data Visualization
5
Introduction to Statistics
6
Machine Learning
7
Logistic Regression
8
Decision Trees and Random Forest
9
Unsupervised Learning
10
Association Rule Mining and Recommendation Engines
11
Introduction to Artificial Intelligence
12
Time Series Analysis
13
Support Vector Machine
14
Naïve Bayes
15
Text Mining

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Data Science With R
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