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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

* Required Fields

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

Topic 1 Python Data Analysis Libraries

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

Topic 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

Topic 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

Topic 4 Data Visualization with Matplotlib

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

Topic 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 ‎ the field of skyline queries over Dynamic and Incomplete databases for her Ph.D. thesis. She is also working ‎ on the 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.

Cpanel WHM Trainer

Ghoncheh Babanejad is a PhD student at Faculty of Computer Science & Information Technology at Universiti Putra Malaysia. She is working on recommender systems in the field of Skyline evaluation for a group of mobile users for her Ph.D. thesis. She is also working on PHP, HTML, Adobe Photoshop, Cpanel, Rational Rose, MS Visio, Microsoft Project, MySQL, Dream Weaver, Word Press. She received several certificates in Web Site Preliminary Design(Jihad Daneshgahi), Client-Side Web Programming(Jihad Daneshgahi) and MongoDB for DBAs (MongoDB Inc). She has more than 5 years experience in IT Department And Project Control Department of ACP (Amin Chemical Processes) company

Python TrainerSaeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring 
  4. Flood detection and prediction system based on IoT and big data 
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Solution 
  10. GPS Tracking System
  11. Remote Sensing

Tableau TrainerLee Cheong Loong is a manager with an EMBA – 21 years working experience indifference role/ Dept. (Sales, Logistic, IT, Online Store, Internal Trainer, and Customer services), involved in multiple IT project (Server P2V upgrade, Network infra upgrade, and ERP system Deployment). He has switched career to Project management role, Big - data / Data scientist related project, with Professional Certification Big Data & Analytics, Professional Certificate in Tableau, & Pass the HRDF Certified Trainer Programme. He also involves in AI chatbot and application development to help small-medium practitioner (accounting industry).

Big data trainerRupesh Nanglia(RUPS) has more than 13 years' experience in software development/architecture and system integration. Has architected solutions in agile and scrum development environments. Is adept in Big Data Analytics, Internet of Things (IoT), Project Management, as well as Cloud Computing and Network Analysis. Moreover, while his on-the-job experience has afforded him a well-rounded skill set. He is an expert at Apache Hadoop, No SQL DB(Cassandra, MongoDB, Hbase, Neo4j...), Spark, Kafka, Storm, R, Data Analytics, Social Media Analytics, OpenStack Cloud Computing Platform, preparing study narratives documents and case reviews, Perform the tasks of reviewing studies performed by the staff. It is also working ‎ on the Data Science field as a trainer and Data Scientist. Has worked on Machine Learning and Process ‎ Mining projects. Strong written and verbal communication skills.Successful background working with stakeholders to develop and implement an architecture framework that aligns strategy, processes, and IT assets with a business goal. Has been associated with the training industry for more than half a decade.

Raspberry Pi TrainerNouar AlDahoul is a PhD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in the machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.

Customer Reviews (5)

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sufficient (Posted on 27/10/2018)
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give more tutorial (Posted on 06/03/2018)
Will Recommend Review by Course Participant/Trainee
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Will Recommend (Posted on 10/07/2016)
Will Recommend Review by Course Participant/Trainee
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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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