#1 data analysis foundation using R
The distilled essence of R data analysis - An accelerator course to sling shot your skillset
This programme is designed for learners with little (or no) programming background, and it can equip them with the foundational skillset needed to perform basic data analysis using R programming. This course strips away any non-essential components in a typical R course, and focus only on specific areas are critical for data analysis. With modular 2-hour lessons, learners can select the topics that they would like to strengthen in based on their proficiency and budget.
Learners can choose all these topics, or just select the ones that they need. This course is conducted over zoom.
1. Basic R Manipulation (2hrs, $100)
- Creating datasets using Pandas DataFrame
- Joining datasets
- Importing and Exporting datasets
2. DataFrame Subsetting Essentials (2hrs, $100)
- Getting specific rows in the DataFrame
- Getting specific columns you need in the DataFrame
- Getting the data based on filter conditions.
3. Data Wrangling using Tidyverse (2hrs, $100)
- Cleaning problematic dataset
- Transforming raw data to more usable format.
4. Data Visualization (2hrs, $100)
- Learning when to use certain charts to communicate key insights.
- Creating key charts using R GGPlot2 package.
*Follow-up tuition on each of these subjects are also available at a modest fee, after learners have completed all these Modules.
#2 Data Analysis foundation using python
The distilled essence of Python data analysis - An accelerator course to sling shot your skillset
This programme is designed for learners with little (or no) programming background, and it can equip them with the foundational skillset needed to perform basic data analysis using Python programming. This course strips away any non-essential components in a typical Python course, and focus only on specific areas are critical for data analysis. With modular 2-hour lessons, learners can select the topics that they would like to strengthen in based on their proficiency and budget.
Learners can choose all these topics, or just select the ones that they need. This course is conducted over zoom.
1. Basic Python Manipulation (2hrs, $150)
- Creating datasets using Pandas DataFrame
- Joining datasets
- Importing and Exporting datasets
2. DataFrame Subsetting Essentials (2hrs, $150)
- Getting specific rows in the DataFrame
- Getting specific columns you need in the DataFrame
- Getting the data based on filter conditions.
3. Data Wrangling (2hrs, $150)
- Cleaning problematic dataset
- Transforming raw data to more usable format.
4. Data Visualization (2hrs, $150)
- Learning when to use certain charts to communicate key insights.
- Creating key charts using Python seaborn package.
*Follow-up tuition on each of these subjects are also available at a modest fee, after learners have completed all these Modules.
#3 Machine learning Analytics - R / Python
Deep-dive into key A.I./Machine learning data analytics
Today, we live in a world awash with data, and core Tech based on A.I./Machine Learning has become part and parcel of our life. However, we have not become more enlightened, nor has our life improved as a result. Conversely, we may even feel more helpless with the passing of time.
Why not equip yourself with knowledge of these A.I./Machine Learning skillsets and take charge of your life? In this course, we shall deep-dive into the following algorithms, to dissect them and understand how they work. Then we will be training these algorithms to understand the patterns in our data, and using them to generate insights and/or to forecast future trends:
1. Linear Regression (2hrs, $200)
2. Linear Regression - advanced (2hrs, $200)
3. Logistic Regression (2hrs, $200)
4. Cluster Analysis (2hrs, $200)
5. Decision Trees (2hrs, $200)
6. Artificial Neural Network (2hrs, $200)
7. Time Series Analysis (2hrs, $200)
Learners can select all these modules, or simply pick the ones that interest them. The pre-requisite is that learners need proficiency in R / Python, and they are strongly encouraged to take the 'Data Analysis Foundation using R' or 'Data Analysis Foundation using Python'. This course will either be conducted using either R or Python, and the class will commence based on class size and the programming language preferred. All lessons are conducted over zoom.
*Follow-up tuition on each of these subjects are also available at a modest fee, after learners have completed all these Modules.
