Free Data Science Online Workshop | India | USA |

FREE Data Science
Online Workshop

  • Advanced Curriculum
  • |
  • 8 Hours
  • |
  • 21st & 22nd March 10 AM to 5 PM

Free Online Workshop

Request for a Demo
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Data ScienceWorkshop Benefits


All Modules will be covered


8 Hrs of Recorded Sessions will be provided


2 Demo Classes


Interview Question & Answers


Study Materials & Textbooks


24/7 Access of LMS

About Data Science

Data Science is a field that encompasses related to data cleansing, preparation, and analysis. It involves developing methods of recording, storing and analyzing data to effectively extract useful information.

Data Science uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data Science continues to evolve as one of the most promising and in-demand career paths for skilled professionals.

Why You Should Learn Data Science :

The job outlook for Data Scientists is very high. Companies like Oracle, Numerator, Splunk, Cloudera, Teradata etc.. use data science.

The average salary of a Data Scientist in India is Rs. 8,15,367 per annum - PayScale.

As stated by the US of Labor Statistics, the employment of all computer and information research scientists is expected to rise 19% by the year 2026.

Data Science Curriculum

  • Introduction to Data Science
  • Different sub disciplines of Data Science
  • Statistics as prerequisite to Data Science
  • Introduction to statistical analysis
  • Types as statistical analysis
  • Univariate Analysis
    1. Mean
      • Arithmetic mean
      • Geometric mean
      • Harmonic mean
      • When to use what mean
      • how mean is used in comparative analysis
    2. Mode
      • Transformations required for mode
      • Types of variables
      • Why mode should not be directly applied on continuous variables
      • How to take decision making using mean and mode combination
    3. Median
      • How to Compute
      • Quartiles
        • First Quartile
        • Second Quartile
        • Third Quartile
    4. Dispersions
      • Range
      • IQR(Inter Quartile Range)
      • Variance
      • Standard Deviation
  • Multivariate Analysis
    1. Covariance
    2. Correlation
    3. Types of predictive models
    4. Difference between predictions and forecasting
    5. Simple linear regression
    6. Multiple linear regression
    7. Logistic Regression
    8. Forecasting using time series analysis
  • How to check model accuracy (quality)
  • How to measure error of a model
  • How to tune model parameters
  • Hypothesis testing


You can enroll by contacting us or you can request a demo by providing your details.

  • Online Training
  • Self-paced Training
  • Corporate Training

You will never lose any classes. You can watch the recorded session of the class which will be available in LMS.

  • Trainer has 10+ years of experience in training
  • Trained 10,000+ students through classroom and online
  • Working as a Tester Consultant

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