Data Analytics Courses

This course is designed to provide an overview of AI, machine learning, and ChatGPT concepts. We will adopt a hands-on approach to teach students how to develop AI models and tackle real-world challenges. By engaging in experiential learning, learners will gain a deeper understanding of what AI can achieve, making this one of the essential AI courses available. We will utilize a machine learning tool to create an AI model without any coding, making this course suitable for students without prior programming experience.

1. Introduction to AI and Machine Learning

Explore what AI and machine learning are, and how these algorithms have evolved over time. We will discuss successful deployments of AI and machine learning in businesses, as well as potential biases and limitations that these algorithms may present.

2. Market Segmentation with Orange Software

Gain insights into cluster analysis and its applications in market segmentation. Students will build a cluster analysis model using Orange software, a powerful freeware for machine learning, data visualization, and data mining, making it an excellent fit for data analysis training.

3. Unleashing the Power of ChatGPT

Discover the capabilities of ChatGPT and how it can be used for business insights, office applications, and personal enhancement. Hands-on activities will allow participants to experience ChatGPT in action.

*This is a full-day in-person course tailored for business executives. The session costs $500 per participant, and learners are encouraged to bring their own laptops. We will notify you of the course location once it has been confirmed.

This programme is designed for learners with little (or no) programming background, providing them with the foundational skillset needed for basic data analysis training using R programming. This course eliminates any non-essential components typically found in R courses and focuses solely on the critical areas necessary for effective data analysis. With modular 2-hour lessons, learners can select topics they wish to strengthen based on their proficiency and budget, making it a flexible option for those also exploring AI courses or machine learning courses.

Learners can choose to cover all these topics or just select the ones they need. The 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 datasets

Transforming raw data to a more usable format.

4. Data Visualization (2hrs, $100)

Learning when to use certain charts to communicate key insights.

Creating key charts using the R GGPlot2 package.

*Follow-up tuition on each of these subjects is also available at a modest fee, after learners have completed all these modules.

This programme is designed for learners with little (or no) programming background and aims to equip them with the foundational skillset necessary for basic data analysis using Python programming. This course strips away non-essential components typical of many AI courses, focusing solely on the specific areas critical for effective data analysis training. With modular 2-hour lessons, learners can select the topics they wish to strengthen according to their proficiency and budget.

Learners have the flexibility to choose all these topics or just select the ones relevant to their needs. 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

   - Filtering data based on conditions.

3. Data Wrangling (2hrs, $150)

   - Cleaning problematic datasets

   - Transforming raw data into a more usable format.

4. Data Visualization (2hrs, $150)

   - Learning when to use certain charts to communicate key insights

   - Creating key charts using the Python seaborn package.

*Follow-up tuition on each of these subjects is also available at a modest fee, after learners have completed all these modules. This course serves as a stepping stone for those interested in advanced machine learning courses.

Today, we live in a world awash with data, and core technology based on AI and machine learning has become an integral part of our lives. However, despite these advancements, we have not necessarily become more enlightened, nor has our quality of life improved as a result. In fact, we may even feel more helpless as time goes by.

Why not empower yourself with knowledge of these AI courses and machine learning skillsets to take charge of your life? In this data analysis training course, we will deep-dive into the following algorithms to dissect and understand how they function. We will train these algorithms to recognize patterns in our data and use them to generate insights or 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 choose to enroll in all these modules or select the ones that interest them most. The prerequisite is that learners need proficiency in R or Python, and they are strongly encouraged to take the 'Data Analysis Foundation using R' or 'Data Analysis Foundation using Python'. This course will be conducted using either R or Python, and classes will commence based on class size and the preferred programming language. All lessons are held over Zoom.

*Follow-up tuition on each of these subjects is also available at a modest fee after learners have completed all these modules.