ABOUT PYTHON

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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CONTENT

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

BENEFITS

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

WHO SHOULD ATTEND

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

SCHEDULE

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

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