RSB TRAINING PROGRAM
PYTHON 3: Road To Data Analyst
This course gives an introduction to the Python programming including many of the available tools that are commonly used for data analytics for the beginner. With the help of different examples, the course should provide a good starting point for beginners to use Python in doing data analysis.
2 DAYS TRAINING
The world generates data at an increasing pace. In finance, business, administration and the natural or social sciences, working with data can make up a significant part of the job.
Python is an object-oriented, high-level and easy-to-learn programming language that has useful features for a beginner programmer. It is one of the top 10 programming languages and more relevant in meeting real-world needs including data analytics.
Python Data Types and Operators
Python Control Structure for decision making using if-then-else
Python Function to reuse codes
Importing modules using Python Module & Packages and datasets
Using function for data manipulation
After successfully completing this course, participants should be able...
To understand how to use Python for data analytics, visualizing and combine datasets.
To learn how to use lists, tuples, dictionaries and writing functions in Python.
To learn how to use indexing and slicing to access data in Python programs.
To handle missing and erroneous data.
Who this course is for:
3. Engineers & Developer
Level: Beginner to Intermediate
Age: 17 y/o and above
Please bring your own laptop for hands-on training with Linux OS/Windows.
REGISTRATION FEES for 2 DAYS
Registration fee includes refreshments, full training documentation, and certificate. The fee does not include accommodation and travel. Payment terms: Fee must be paid before the event. We accept Cash (Online Payment), LO & PO.
METHODS OF PAYMENT
By direct deposit to the account of: -
A/C Name: Robopreneur Sdn Bhd
A/C No: 569981105331
Phone : +603-2726 2475 or +6014-536 2380
Registration Email : email@example.com
Technical Email : firstname.lastname@example.org
Individual Fee (After 2nd February 2020)
Early Bird Individual (Until 2nd February 2020)
Group Fee (3 pax per group)