Python for Beginners

Coding is the primary skill to deal with data of any size. Python is one of the widely used programming language to extract, transform and visualize data. The largest community support is the winning factor for you to choose Python over any other programming languages when it is dealing with data. For Data Engineers, Data Analysts & Data Scientists there is no escape from learning and implementing this programming language in any industry out there.

Orskl, made it very easy and importantly FREE for you to learn Python at your own pace and at leisure. From setup to solving problems is all that matters to learn a new programming language and this course helps you to achieve.

You are just one simple step away from getting this course right into your bucket & start learning all the topics which are listed in the course contents below.

Complete the simple registration by clicking the button “GET FREE COURSE” below to get access to the course. Find the demo video below the course content for quick reference.

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Course Content
  1. Introduction
    1. What is Python
    2. Why Python?
    3. Use Cases
    4. Areas of Application
    5. Career Opportunities
  2. Setup
    1. Setup Anaconda
    2. Setup PyCharm
    3. References
    4. Versions
  3. Integrated Development Environment (IDE)
    1. Jupiter
    2. Spyder
    3. PyCharm
    4. Terminal
  4. Packages
    1. OS
    2. Date
    3. Sys
    4. Print & Pprint
    5. Installation (PIP)
    6. Loading Packages
    7. Session & Process
  5. Data Types
    1. Text/String
    2. Date/Datetime
    3. Numeric/Int
    4. Boolean
    5. Object/Class
    6. Data Operations
    7. Prompt Inputs
  6. Data Structures
    1. Lists(Arrays)
    2. Dictionaries (JSON)
    3. Tuples
    4. Set
    5. DataFrames(Tables)
    6. Arguments
  7. Conditions & Loops
    1. IF ELSE
    2. For
    3. range
    4. While
    5. Nested Loops
    6. Sleep
  8. Functions
    1. Default functions
    2. User defined
    3. Lambda
    4. Map, Filter
    5. Nested Functions
    6. Iterators
    7. Regular Expressions
    8. Handling Exceptions
  9. Objects
    1. Classes
    2. Initiation (__init__)
    3. Inheritance
    4. Functions
  10. Comprehensions
    1. Lists(Arrays)
    2. Dictionaries (JSON)
  11. External Files
    1. Save
    2. Read
    3. Append
  12. DataFrames
    1. Columns
    2. Records
    3. Types of Joins
    4. Joins
    5. Concat
    6. External Files
  13. Modules & Packages
    1. Create
    2. Load
    3. Execute
    4. Maintain
    5. Library vs Modules vs Package
  14. Databases
    1. Setup PostgreSQL
    2. Read data
    3. Load data
    4. Modify data
  15. Data Visualizations
    1. Histograms
    2. Bar charts
    3. Line charts
    4. Scatter charts
    5. PIE charts
    6. Word Cloud
  16. Logs & Notifications
    1. Logging
    2. Reporting
    3. Email
  17. Projects
    1. Solve Problem 1
    2. Solve Problem 2
    3. Solve Problem 3
    4. Real world solutions
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Below is the demo and the first session of this course and there are more in our channelDemo Video: