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Data Analysis with Python 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.

After your registered for the course, you can apply SSG grants below

Click here to apply SkillsFuture Credit for Individual

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Course Code: CRS-N-0031883

Course Booking

$298.00 (GST-exclusive)

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.


Training Grant and Subsidy

All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website www.skillsfuture.sg/credit to choose from the courses available on the SkillsFuture Credit course directory

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

Software Requirement

Pls download and install the following software prior to the class

Trainers

Python Data Analysis TrainerDr. Cao Yongxin (Steve) has more than five years of solid industrial and research experiences in data analytics. He held PdD on operations research in National University of Singapore. After his Phd study, he worked as data analyst and scientist in manufacturing and commodity trading companies. He is specialized in analyzing, visualizing and mining complex time series data using Python tools sucha as Pandas, Numpy, Matplotlib, SK-Learn, Tensorflow etc. He did research on predictive analytics on various systems e.g., Forex and commodity trading, system performance prediction, machine maintenance, etc. Besides data analytics using Python, he also extended his expertise in Microsoft Excel VBA, Hadoop big data platforms such as AWS and Microsoft Azure. In addition, he is strong in mathematical modelling and has cross-disciplinary domain knowledge in operations research, currency and commodity trading and industrial automation.

Python Data Analysis TrainerGuan Xiao Kang. analytical, efficient and quick thinking financial professional with strong quantitative skills and capability to comprehend, translate market fundamentals and fast-changing data. With over 5 years working experience with J.P. Morgan Chase in FX Option Electronic Market Making, He is strong in option pricing / risk managing in the automated / quantitative way, and also specialize in Financial data analysis using Python. With a Financial Engineering background, He is familiar with mathematical theories and methods, such as Black-Scholes, Monte Carlo, Econometric and statistical techniques. Furthermore, He is experienced in applying / implementing these methods using current technologies (mainly Python, Pandas, Numpy etc.) to solve practical problems in the Financial industry.

Python Pandas Data Analytics Trainer Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book prizes, Study awards, bursaries and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Python Pandas Data Analytics TrainerWee Chee Hong is a veteran consultant in the field of Engineering Design. He has over 20 years experience in electronics/ IT industry with several MNCs including Compaq, Adaptec, Agilent, etc., with specialization in Automation System Design (drilling/ milling machine, 3D machine automation, machine data collection, test & measurement electronics design), Motion control design & applications. With wide technical skill set in development language/ tools .Net, Java, PowerBuilder to C++/ C/C#, he has also strong knowledge in development of firmware for microcontroller such as PIC, ARM and others.

Chee Hong graduated with a B.Eng degree in Electrical Electronics Engineering and holds a Master Degree of Technology from NUS.

Python Pandas Data Analytics TrainerJoel Foo graduated with a major in statistics and minor in computer science from NUS. He is well-versed in R and Python libraries/packages and has applied knowledge of statistics in data mining, time series analysis and deep learning. As the Business Intelligence Lead in an Israeli startup, Joel has experience in using BI tools such as Tableau to perform drill downs and harness insights from data. Currently, he is the co-founder and CEO of Geboto, a chatbot centric CRM platform for hospitality and F&B.

Python Pandas Data Anlaytics TrainerDr. Ravi Kumar Tiwari got his PhD from NUS (Chemical Engineering) in 2013. After graduation, he worked 3 years as a research scientist in the Institute of High Performance Computing (IHPC). He is currently a big data R data analyst in Rakuten. His core skills are R, big data, Hadoop and machine learning.

Python Pandas Data Analytics TrainerDr. Sudipta Samanta received his Ph.D. for his research in the field of computational Biophysics in 2009. He has more than 9 years research experience as a scientist. His current interests include Machine Learning, Deep Learning, Health Care Data analysis, and computer simulation. He is also the founder of "Baby Lion Organic medicinal Farm".

Python Pandas Data Analysis TrainerJohnson Ang has a Masters in IT Analytics from SMU and is certified and a member of GARP, CQF andFSM. He has more than 8 years of working experience, of which 4 years of experience in the Banking Wide Operations and has been particularly involved in mega IT Analytic banking projects within the Risk Management and Financial Instrument sphere.

He can offer varied solid perspectives and has experience working with folks from all sorts of background, such as Developers, Traders/Dealers, CxOs, Programmers, Project Managers, Auditors, Head/Country Directors, Regulators, RMs, which is particularly during his stint in the Front, Middle and Back Office, as well as industry such as Real Estate, FMCG, Construction and Education Sector.

Not only he is familiar with typical banking software, but also has also been acquainted with popular tools such as SAS, JMP, Oracle, VBA, Access, Python, R, C, Java and many more. He has also developed a strong passion for Mathematics, Trading and Computing at a young age and has been a self-professed Algo-Trader having a Sharpe ratio of >3 and a passionate Math Tutor having taught over hundreds of students from Primary to University level.

Python Pandas Data Aanalytics TrainerPushparaj Murugan has more than five years of research experiences in Industrial automation. He is specialized in Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, SciKit-Learn, Tensorflow, Keras, Theano, etc. He had his experience working for Caterpiller inc. in developing a user interface using Matlab programming combining finite element analysis. In addition, he also worked for ARDB (Aeronautical Research and Development Board) and DRDO ( Defence Research and Development Organisation) in India on various research projects. He is currently doing his research at Nanyang technological university for Rolls Royce intelligence manufacturing section. He is working on automation of robotic abrasive belt grinding process using deep learning frameworks such as CNN and LSTM.

Python Pandas Data Analysis TrainerAng Ming Liang is an up-and-coming developer with expertise ranging from deep learning to hardware like the raspberry pi. He specialises mostly in the area of data science and machine learning and has won several hackathons and is ranked highly in international competitions. Furthermore, he has also done projects as part of the maker community in Singapore and build his own 3D printer as well

Customer Reviews (20)

Might RecommendReview by Chan Seong Choong
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Training venue can be more spacious. Room temperature was a bit warm. Trainer needs to control his time well. A bit rush at the last 2 modules. (Posted on 10/8/2018)
Will RecommendReview by Han Weixiang
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 4/30/2018)
Will RecommendReview by Huang Yuli
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 4/6/2018)
Will RecommendReview by ZHAO ZHIQIANG
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 4/6/2018)
Will RecommendReview by Alan Chui
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
This course is very compact, should set aside 1day for data manipulation and 1day for data analysis, which the latter part unable to cover extensively


The course emphasizes on data manipulation, hence the title should be "Python Essential for Data Analysis"; similar to Numpy and Pandas training courses and titles. (Posted on 4/3/2018)
Will RecommendReview by Yali
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 3/16/2018)
Will RecommendReview by Krishnamoorthi Sivalingam
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 3/16/2018)
Will RecommendReview by Jinquan
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 3/16/2018)
Will RecommendReview by Jinquan
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 3/16/2018)
Will RecommendReview by Tan Zhenyang
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 3/16/2018)
Might RecommendReview by Ken
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I would have appreciated more in-depth discussion of the different functions rather than the basic functionality of each syntax function.

Wesley is quite personable. (Posted on 3/16/2018)
Will RecommendReview by Qadir
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
More practical application for analytics and machine learning

Trainer should get a bonus for putting up with my questions (Posted on 3/16/2018)
Will RecommendReview by Kie Hian
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Course is generally excellent, perhaps if there is a way to automate / preload materials into a hosted Jupyter notebook , this will save time. (Posted on 3/16/2018)
Might RecommendReview by Priyanka
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
It was way too much content for one day course. Perhaps make this a two-day course or eliminate some content

The classroom was very cold. (Posted on 3/7/2018)
Will RecommendReview by LIAO YINBO
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 1/21/2018)
Might RecommendReview by Chue Jianrong Colin
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The lecture notes can be improved by including more details. While time is of constraint, the trainer can provide websites or sources that the trainees can go to into order to further enhance the learning.

Further reading or assignment can be included in the notes for practice outside the classroom. (Posted on 7/12/2017)
Will RecommendReview by D Khare
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 8/27/2016)
Will RecommendReview by Eric Pang
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Just to let you know I enjoyed your Python DA class. Great job! (Posted on 7/6/2016)
Will recommendReview by Eric Pang
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
More real life applications (Posted on 7/2/2016)
Will RecommendReview by Saurabh Kumar
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Will Recommend (Posted on 6/8/2016)

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