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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Python Data Analysis with Pandas

The world generates data at an increasing pace. Consumers, sensors, or scientific experiments emit data points every day. In finance, business, administration and the natural or social sciences, working with data can make up a significant part of the job. Being able to efficiently work with small or large datasets has become a valuable skill.

The Python data analysis course will teach you data manipulation and cleaning techniques using the popular python pandas data science library.

Course Highlights

The course will cover  import/export of data, Series and DataFrame data types, and how to use functions such as groupby, merge, and pivot tables  for data aggregation.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M265

Course Booking

MYR880.00

Course Date

Course Time

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Module 1 Python Data Analysis Libraries

  • Data Analysis Components
  • Data Analysis Steps
  • Python Data Analysis Libraries

Module 2 Overview of Numpy

  • What is Numpy?
  • 1D Numpy Array
  • Special 1D Functions
  • High Dimensional Arrays
  • Selecting and Slicing Array Elements
  • Filtering Array Elements
  • Transforming Array
  • Statistical Operations

Module 3 Data Analysis with Pandas

  • What is Pandas
  • Data Frame
  • Create DataFrame
  • Import CSV and Excel Data
  • Selecting and Slicing Data
  • Filtering Data
  • Dealing with Missing and Duplicated Data
  • Joining Data
  • Aggregating Data

Module 4 Data Visualization with Matplotlib

  • Overview of Matplotlib & Seaborn
  • Plot Attributes
  • Plot Types
  • Seaborn Styling
  • Pandas Plots

Module 5 Overview of Machine Learning with Scikit-Learn

  • What is Machine Learning
  • Types of Machine Learning
  • What is Scikit Learn
  • Classification
  • Regression
  • Clustering

Course Admin

Prerequisite

This is a intermediate level course. The following prerequisite is assumed

Software Requirement

Pls download and install the following software prior to the class

Who Should Attend

  • Data scientists planning to use Python for data analysis
  • Financial analysts planning to use Python for data analysis
  • Marketers planning to use Python for data analysis

Trainers

Tensorflow TrainerMuhammad Samer Sallam is a software engineering and data Scientist with more than 3 years’ experience in the field of machine learning/ deep learning. He has a great passion for data science, intelligent-seeming algorithms and web technologies to develop smart web products improving the human life. His interest led him to achieve comprehensive experiences in C#, Python, MATLAB, HTML & CSS, Javascript, and Mysql.


His Work experiences are as below:

  • Control and Automation Engineer at Damascus International Airport,
  • Damascus (Syria) Research and Development Team Leader at Rachis Systems, Kuala Lumpur (Malaysia)
  • Machine Learning Specialist in Abundent, Kuala Lumpur (Malaysia)

Basic Tableau Trainer Ghazaleh Babanejad has received her Ph.D from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎field of skyline queries over Dynamic and Incomplete databases for her PhD thesis. She is also working ‎on Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎Mining projects. She also has several international certificates in Practical Machine Learning (John ‎Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎certificates. She has more than 5 years of experience as a lecturer and database administrator.

Python TrainerWei has Experienced Senior Data Analyst with a demonstrated history of working in the internet and digital advertising industry. Skilled in SQL, Python, R, Vertica, Google BigQuery, Hadoop, Hive and statistical methods. Strong data science background with a Master of Arts (M.A.) in Economics and Bachelor of Arts (B.A.) in Economics and Mathematics from Boston University.

Customer Reviews (5)

Will RecommendReview by Chow kai sin
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Will RecommendReview by Nurazean Maarop
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sufficient (Posted on 27/10/2018)
Will RecommendReview by normala che eembi
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give more tutorial (Posted on 06/03/2018)
Will RecommendReview by Saurabh Kumar
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Will Recommend (Posted on 10/07/2016)
Will RecommendReview by Eric Pang
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Just to let you know I enjoyed your Python DA class. Great job! (Posted on 10/07/2016)

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