Become a Masters in Data Science
and Machine Learning

Data Science Training: Statistics, R, Python, Advanced Statistics in Python, Machine & Deep Learning, NLP, Tableau, Data Visualization, Data Structure Analysis (Numpy & Pandas), Data Preprocessing.

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Batches
110+
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Professionals
1650+
Professionals Trained
duration
Duration
3 Months
4.9/5
4.8/5
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Data Science

Most Trusted Data Science Training Institute in Bangalore

Data has become the next currency and Data science professionals are in huge demand for their skills and expertise. School of Data Science has 4 centres of learning in Bangalore that are conveniently located at prominent places of the city. Call us for your free information counselling and demo session. We offer the best data science course in Bangalore that makes you industry ready in three months.

  • Flexible pricing options
  • Designed for Working
    Professionals/Students
  • Real-life Case Studies
  • Assignments
  • Certification

What You Learn?

Data Science with Python Certification
Training Course Agenda

Python

Python for Data Science Classroom Training course lets you master the concepts.

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Machine Learning

Use Machine Learning techniques to analyze online sales.

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Data Analytics

We provide the most advanced Data Science & Analytics training course in Bangalore..

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NLP

NLP is the ability of a computer to understand, analyze the human language.

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Predictive Analytics

Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities.

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R programing Language

R is a language used for statistical computations, data analysis and graphical representation of data.


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Statistics

Statistics is one of the most important disciplines to provide tools and methods to find structure in and to give deeper insight into data.

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Tableau

The great thing about Tableau software is that it doesn't require any technical or any kind of programming skills to operate.


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Data visualization

The great thing about Tableau software is that it doesn't require any technical skills to operate.


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SQL

The great thing about Tableau software is that it doesn't require any technical or any kind of programming skills to operate.


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Numpy

The great thing about Tableau software is that it doesn't require any technical or any kind of programming skills to operate.


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Pandas

The great thing about Tableau software is that it doesn't require any technical or any kind of programming skills to operate.


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Download Brouchre

What You'll Learn in this Data Science Course

  • This course will enable you to define statistics and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, distribution. You will be able to make data-driven predictions through statistical inference.
  • Understand the fundamentals of statistics
  • Work with different types of data How to plot different types of data
  • Calculate the measures of central tendency, asymmetry, and variability
  • Calculate correlation and covariance
  • Distinguish and work with different types of distribution
  • Estimate confidence intervals
  • Perform hypothesis testing
  • Understand the mechanics of regression analysis
  • Carry out regression analysis
  • Gain a foundational understanding of business analytics
  • Install R, R-studio, and workspace setup, and learn about the various R packagesi
  • Master R programming and understand how various statements are executed in R
  • Gain an in-depth understanding of data structure (Matrices & Data frames) used in R and learn to import/export data in R Master R progr
  • Define, understand and use the various apply functions and DPYR functions
  • Understand and use the various graphics in R for data visualization
  • Gain a foundational understanding of business analytics
  • Install Python, Anconda Navigator, and workspace setup, and learn about the various Python packages
  • Hands on Python programming and understand how various statements are executed in Python
  • Gain an in-depth understanding of data structure (Numpy & Pandas)used in Python and learn to import/export
    data in Python
  • Define, understand and use the various apply functions and DPYR functions
  • Understand and use the various graphics in Python for data visualization
  • This Tableau course helps you understand how to build visualizations, organize data, and design charts and dashboards You will be gaining the knowledge and hands on Data Visualization, different combo charts,
    and stories, working with filters, parameters, and sets, and building interactive dashboards.

COURSE OPTIONS

Best Data Science Training Institute in Bangalore. We are responsible for the right education from day one of joining.Learn
Statistics, R, Python, Advanced Statistics in Python, Machine & Deep Learning, NLP, Tableau, Data Visualization, Data Structure Analysis,
Data Preprocessing Courses In Bangalore with Affordable Course Fees.

Live Virtual

Instructor Led Live Online

  • Flexible pricing options
  • Designed for Working
    Professionals/Students
  • Real-life Case Studies
  • Assignments
  • Certification


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Classroom

In - Person Classroom Training

  • Flexible pricing options
  • Designed for Working
    Professionals/Students
  • Real-life Case Studies
  • Assignments
  • Certification


What Our Students Say

Data Scientist

Bagya Sree

Data Scientist

I have enrolled the data science course provided by School of Data science and their modules and services made a comfortable platform for a swift transition from a non IT Background to Analytics. School of data science gives real time case studies and assignments gave me a lot of knowledge.

Data Scientist

Ajay

Data Scientist

Great institute to start up- your career in Data Science field. The best part is the virtual LIVE CLASS where you get hands on experience. trully brilliant. There is so much to learn. I especially wanted to thank the faculties and support team for the follow ups and quick replies to my queries.

Data Science Course Curriculum

The only Data Science training program
where you get in-depth knowledge of all the modules of Data Science

  • Variables and Datatypes
  • If, else-if and else statements
  • Comparison operators
  • Loops - For, While & Repeat
  • Exploratory data analysis
  • Exercises and assignment challenge
    1. Handling
      • Data types
      • Missing Values
      • Outliers
    1. Statistical Data visualization using GGPlot
    2. Working statistical graphs
      • BOX Plot
      • Regression
      • Scatter
      • Histogram (Distribution)
      • Density chart
    3. Exercises and assignment challenge
    1. Algorithms
      • Linear regression Analysis
      • Logistic Regression
      • Decision Tree & Random Forest
      • Kmeans Cluster
      • KNN
  • Variables and Datatypes
  • If, else-if and else statements
  • Comparison operators
  • Loops - For, While
  • Introduction to data analysis
  • Why Data analysis?
  • Exploratory Data Analysis
  • Creating and applying functions
  • Numpy Indexing and selection
  • Numpy Operations
  • Exercise and assignment challenge
  • Exploratory data analysis
  • Exercises and assignment challenge
    1. Handling
      • Data types
      • Missing Values
      • Outliers
    1. Statistical Data visualization using Seaborn
    2. Working statistical graphs
      • BOX Plot
      • Regression
      • Scatter
      • Histogram (Distribution)
  • Introduction Lesson
  • Sample or Population Data?
  • The Fundamentals of Descriptive Statistics Lesson
  • Measures of Central Tendency, Asymmetry, and Variability Lesson
  • Practical Example: Descriptive Statistics
  • Distributions Lesson
  • Estimators and Estimates Lesson
  • Confidence Intervals: Advanced Topics Lesson
  • Practical Example: Inferential Statistics Lesson
  • Hypothesis Testing: Introduction Lesson
  • Hypothesis Testing: Let’s Start Testing! Lesson 1
  • Practical Example: Hypothesis Testing Lesson 1
  • The Fundamentals of Regression Analysis Lesson
  • Subtleties of Regression Analysis Lesson
  • Assumptions for Linear Regression Analysis
  • Getting Started with Tableau Lesson
  • Core Tableau in Topics
  • Creating Charts in Tableau Lesson
  • Filters in Tableau
  • Applying Analytics to the worksheet
  • Dashboard in Tableau Lesson
  • Modifications to Data Connections
  • Introduction to data analysis
  • Exploratory Data Analysis
  • Why Data analysis?
  • Creating and applying functions
  • Matrices Indexing and selection
  • Matrices Operations
  • Exercise and assignment challenge

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