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Python Data Analysis Essential Training

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. 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.

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

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

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

Prerequisite

Prerequisite

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

  • Basic Python

Software Requirement

Pls download and install the following software prior to the class

Trainers

Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

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

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.

Customer Reviews (3)

Will RecommendReview by normala che eembi
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give more tutorial (Posted on 3/6/2018)
Will RecommendReview by Saurabh Kumar
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Will Recommend (Posted on 7/10/2016)
Will RecommendReview by Eric Pang
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Just to let you know I enjoyed your Python DA class. Great job! (Posted on 7/10/2016)

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