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RisingStar Technologies Data Science course offers a comprehensive package to equip you with the skills of a proficient Data Scientist. Our training program covers a wide range of topics, including data science applications, R statistical computing, data manipulation, data visualization, and applying descriptive and inferential statistics. Through hands-on projects and problem-solving exercises, you will gain practical experience and develop the confidence to excel in interviews and real-world Data Science scenarios. Join our Data Science online training and embark on a successful career as a Data Scientist.

July 1st

Mon-Fri

Timing

09:00 AM - 11:00 AM

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Aug 1st

Mon-Fri

Timing

09:00 AM - 11:00 AM

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Sep 1st

Mon-Fri

Timing

09:00 AM - 11:00 AM

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RisingStar Technologies

Courses Include

30 Hours of Session

Flexible Schedule

Real Time Project Use

10 Hours of Lab

One-on-One Doubt Session

Certificate Oriented Curriculum

Data Science Content

Below, you will find comprehensive details of the Data Science Training course, covering all the essential aspects you will be exposed to throughout the program.

 

Data Science Course

At RisingStar Technologies, our Data Science course content is carefully crafted by experienced authors who possess extensive real-time expertise in artificial intelligence, machine learning, deep learning, and other cutting-edge technologies. Our updated curriculum aligns with the current industry demands, ensuring that you acquire the necessary skills to excel in data science interviews and advance your career. Join our Data Science training program to stay ahead of the curve and unlock exciting opportunities in the field of data science with RisingStar Technologies.

Data Science Basics
  • In this module, you will learn the basics of data science and R programming, Importance of Data Science.

     

    Topics covered in this section are:

    • What is Data Science
    • Significance of Data Science in today’s world.
    • R Programming basics

    Learning Outcomes: By the end of this module, you will get a fundamental idea about data science and R programming.

  • This python fundamentals module discusses the python concepts required for a data scientist.

     

    Topics covered in this section are:

    • Python Introduction
    • Indentations in Python
    • Python data types and operators
    • Python Functions

    Learning Outcomes: By the end of this module, you will get the basic Python programming knowledge.

  • This module deals with the basic concepts of data structures and data visualization.

     

    Topics covered in this section are:

    • Data Structures Overview
    • Identifying the Data Structures
    • Allocating values to the Data Structures
    • Data Manipulation Significance
    • Dplyr Package and performing different data manipulation operations.

    Learning Outcomes: Upon completing this module, you will be able to understand the significance of Data structures and Data manipulation in Data science.

  • This module discusses topics like Data visualization, types of graphs, Ggplot2 package, bar plots creation, Univariant, and Multivariant analysis.

     

    Topics covered in this section are:

    • Introduction to Data Visualisation
    • Various kinds of graphs, Graphics grammar
    • Ggplot2 package
    • Multivariant analysis by using geom_boxplot
    • Univariant analysis by using the histogram, barplot, multivariate distribution, and density plot.
    • Creating the bar plots for the categorical variables through geop_bar() and including the themes through the theme() layer.

    Learning Outcomes: At the end of this module, you will be able to visualize the data through different graphs, Ggplot2 package. Also, you will get a real-time experience of bar plot creation, Univariant, and Multivariant analysis.

  • This Data Science online classroom training module deals with statistics concepts like Classification, Probability Types, Covariance, and Correlation. Along with this, you will learn how to analyze the given data set through Data Sampling, Hypothesis Test, and Binary Distribution.

     

    Topics covered in this section are:

    • Statistics Importance
    • Statistics classification, Statistical terminology.
    • Data types, Probability types, measures of speed, and central tendency.
    • Covariance and Correlation, Binary and Normal distribution
    • Data Sampling, Confidence, and Significance levels.
    • Hypothesis Test and Parametric testing

    Learning Outcomes: By the end of this module, you will gain practical knowledge of different statistical concepts like Probability types, Hypothesis test, Covariance. You will also be able to work with other statistics techniques like Correlation, Data sampling, Normal and Binary Distribution.

  • This Machine learning module discusses machine learning basics like Supervise learning, classification, linear regression, and ensemble learning techniques.

     

    Topics covered in this section are:

    • Machine Learning Fundamentals
    • Supervised Learning, Classification in Supervised Learning
    • Linear Regression and mathematical concepts related to linear regression
    • Classification Algorithms, Ensemble Learning techniques

    Learning Outcomes: Upon completing this module, you will get a basic knowledge of machine learning, and you will be proficient in Supervised learning, Linear regression, and Ensemble learning.

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Benefits of Learning Data Science in RisingStar Technologies

Learning Data Science at RisingStar Technologies offers numerous benefits. Our comprehensive training program provides you with a solid foundation in data science concepts, algorithms, and techniques. With hands-on projects and practical exercises, you’ll gain valuable experience in analyzing and interpreting data, making informed decisions, and solving real-world problems. Our expert instructors bring industry insights and practical knowledge to the classroom, ensuring you receive high-quality education. Additionally, we offer career guidance and support to help you navigate the job market and secure rewarding opportunities in the field of data science. Enroll in our Data Science course at RisingStar Technologies to unlock your potential and embark on a successful career journey in this rapidly growing field.

 

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Data Science Training In India

July 1st
Mon-Fri (21 Days)

Timing 07:00 AM to 09:00 AM

Enroll Now

August 1st
Mon-Fri (21 Days)

Timing 07:00 AM to 09:00 AM

Enroll Now

September 1st
Mon-Fri (21 Days)

Timing 07:00 AM to 09:00 AM

Enroll Now
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A global company, RisingStar Technologies specializes in software training and IT staffing, with operations in Bengaluru, India, and Vancouver, Canada.
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