Stat Modeller


Stat Modeller
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Local Time

  • Timezone: Asia/Kolkata
  • Date: Sep 14 - 18 2020
  • Time: 7:00 pm - 8:30 pm


Sep 14 - 18 2020


7:00 pm - 8:30 pm



Python for Data Analytics


Python is a language that is very easy to learn even if you are a beginner and don’t have any programming background. It is well-worse with powerful libraries for machine learning, deep learning and AI which make it mode powerful.

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  1. Introduction to Python
    • Installation Python
    • Options for IDE (Integrated Development Environment)
    • Installation of Anaconda Distribution and Jupyter Framework
  2. Basic Operations in Python
    • Arithmetic Operations
    • Variable Assignment
    • String Operator
    • Introduction to Lists
  3. Data types in Python
    • Object, List, Array
  4. Concept of Looping
    • For Loop
    • While Loop
  5. Custom Function
    • Define your own function
  6. Import Numpy Library
    • Import Numpy Library
    • Importance and use of Numpy Library
  7. Data Handling in Python (Using Pandas Library)
    • Import Pandas Library
    • Import from .txt, .csv, .xls, html file
  8. Working with Data Frame (Using Pandas Library)
    • Subset of the Data
    • Adding / Deleting columns or Rows of the data
    • Numeric Filter, String Filter, Filter with Multiple Conditions
    • Sorting of the Data
    • String Operations (Upper Case, Lower Case, Title Case, Replace)
  9. Summarize data
    • Find Descriptive Statistics using a single command
    • Use of Group by function for Cross Tabulation
  10. Pivot Table in Python (Numpy and Pandas Libraries)
  11. Types of Data
    • Qualitative Data (Nominal and Ordinal) 
    • Quantitative Data (Interval and Ratio)
  12. Descriptive Statistics
    • Measurement of Central Tendency (Mean, Median, Mode)
    • Measurement of Spread (Range, Variance, Standard Deviation)
    • Quartile, Frequency Table
  13. Data Visualization (Using Matplotlib Library)
    • Bar chart, Histogram, Pie Chart, Box Plot, Scatter Plot, Matrix Plot


  1. Instruction-Led Live Classroom
  2. Curriculum Designed by Experts
  3. Hands-on Coding
  4. Expert Mentor-ship


  1. Any professional who want to enhance or build career in Data Science, Data Analytics and Machine Learning
  2. Perfectly Suitable for Beginners


  • Date: 14th to 18th  Sep-2020 (5 Days)
  • Time: 7:00 PM to 8:30 PM

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