DATA SCIENCE IN PYTHON
    
               VENUE:
     COMPUTER LAB 1, INCEIF CAMPUS
         LORONG UNIVERSITI A
            KUALA LUMPUR
                                         www.inceif.org
                                                          DATA SCIENCE IN PYTHON
          Introduction to Python
                                         This hands-on course is an
                                         introduction to the Python
                                         programming for participants
                                         without prior programming
                                         experience.  The objective of
                                         this course is to introduce
                                         participants with programming
                                         concepts, such as, variables,
                                         data structures, functions, and
                                         programming constructs such
                                         as looping and control flow.
          Course Highlights
          Part I: Introduction to Python
            Overview of different programming languages
            Variables, expressions and String operations
            Python Data Structures: List, Tuples and Dictionaries
            Conditions and Branching
            Loops
            Functions
           
          Part II: Data Cleaning and Manipulation
            Introduction to Data Frame (Python’s version of a spreadsheet)
            Dealing with missing values and duplicate rows in a spreadsheet
            Merging and concatenation of multiple spreadsheets
                                             DATA SCIENCE IN PYTHON
        Who Should Attend
         Finance professionals who want to learn programming to start the journey in big data
         analytics
         Financial analysts who want to use Python for market analysis
         Technical or project managers who consider using Python’s advantages as strategic
         instrument to better fulfil business requirements
         PhD and Master researchers who want to use Python for data preparation for their thesis
         Software developers, testers and engineers who would like to increase their productivity
         in getting things done.
        Prerequisite
        This course is for beginner. No programming or coding
        knowledge is required. However, some background in
        programming other programming languages would be
        desirable but not required.
        Learning Outcomes
        Upon completion of this course, you will be able to:
         Understand all of the basics of Python
         Develop and write code easily in Python
         Clean up spreadsheet data including handling of missing values and duplicate rows
         Analyse and visualize the data in order to get new insights from the data
        Certificate
        All participants will receive a Certificate of Completion upon achieving a minimum of
        8 class attendance.
         
        Additional Note: Participants are encouraged to bring their own laptops for hands-on
        training.
                                                                DATA SCIENCE IN PYTHON
     Introduction to Python
     Date: 15 February 2020 - 18 April 2020
                        Every Saturday         Duration: 10 Weeks (25 hours)
                    WEEK               DATE                   TIME
                      1                                   2.00pm– 4.30pm
                                  15 February 2020
                      2                                   2.00pm– 4.30pm
                                  22 February 2020
                      3                                   2.00pm– 4.30pm
                                  29 February 2020
                      4                                   2.00pm– 4.30pm
                                   7 March 2020
                      5
                                   14 March 2020          2.00pm– 4.30pm
                      6                                   2.00pm– 4.30pm
                                   21 March 2020
                      7                                   2.00pm– 4.30pm
                                   28 March 2020
                      8                                   2.00pm– 4.30pm
                                    4 April 2020
                      9                                   2.00pm– 4.30pm
                                   11 April 2020
                     1 0                                  2.00pm– 4.30pm
                                   18 April 2020
                Fee Structure
                          CATEGORY                           FEE (RM)
                    INCEIF Students                           RM 500
                    INCEIF Alumni                             RM 700
                    Students from other institutions          RM 800
                    Professional/Academic                    RM 1,200
                *The above fees exclude Sales & Service Tax 6%