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Workshop: Statistical Data Analysis Using Python

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Live Online Instructor-led Workshop on

Live Workshop : Upskilling with Python

Total Duration: 10 Hours (05-days: 2-Hours / Per day): September 13 -17, 2021, 08-00 P.M -10-00 P.M

Price: INR. 950/- Only


Workshop Highlights
  • 10 Hours live online Instructor-led Hands-on based learning with Assignments.
  • Workshop includes: Training material, Training PPT’s, Project code demonstration.
  • Certificate of completion will be provided to each Attendee.
 Projects included in Training
  • Hands-on session on Pandas Librabires, Matplotlib, Seaborn and Scipy Librares.
  • Project 1: Evaluation of Correlation and Regression using Bollywood Movies Dataset.
  • Project 2: Data Visualization using Matplotlib and Seaborn Libraries.
  • Project 3: Explanation of Descriptive Statistics along with various Frequency Distribution Techniques.
Workshop Content [04 Hours]
ESSENCE of Statistics for Data Analysis and Machine Learning
  • Overview of Python and use of Code execution environments or IDEs and Introduction to installation of Anaconda, spider, Jupyter etc.
  • Introduction of Dataframe and Pandas: Basic Insights from Datasets and Understanding of Dataset, Use of loc() and iloc() functions in pandas,
  • Introducing matplotlib and seaborn libraries in python: Using Matplotlib Library Draw Line Chart, Bar Chart, Pie Chart, Histogram, Scatter Plot, Box Plot on different Dataset. Using Seaborn Library implement distplot(), Seaborn Jointplot (), Seaborn Kernel Distribution, Seaborn Heatmap.
  • Illustration of Some Advanced Descriptive Statistics: Population, Sample, Mean, Median, Mode, Variance, Standard Deviation and Hands-on Covariance and Correlation with an Example of relevant dataset (Post implementation of Data Cleansing)
  • What is Normal Frequency Distribution? Explanation of Some frequency Distributions like Bi-Nomial, Poission, Normal Frequency Distruibution and Z- value. Example of Probablity Mass Function (pmf) and Cumulative Distribution Function (cdf).
  • Hypothesis Testing: Buildinf Null Hypothesis and Altenative Hypothesis. Use of Various Hypothesis techniques for testing an Assumptions such as-. z-test, t-test, chi-test and ANNOVA test .
PROJECTS INCLUDED
 
  • Project 1: Evaluation of Correlation and Regression using Bollywood Movies Dataset.
  • Project 2: Data Visualization using Matplotlib and Seaborn Libraries.
  • Project 3: Explanation of Descriptive Statistics along with various Frequency Distribution Techniques.
  Who can attend?
  • Training is best suitable for College Students, University Students, Engineering or Non- Engineering Students & Working Professional.
  • Candidates who are engaged in Research work can leverage the power of python and statistics for testing, applicability and subsequent preparedness of their pre-requisite dataset..
ABNiCO Academy

Mail: – contact@abnicoacademy.com

Contact: +91- 8167337877 /     +91- 9433638499

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