AfterWork Data Science Johannesburg

Overview:
In this course, you will learn how to apply machine learning algorithms using Python to analyze healthcare data, make predictions, and derive insights for improving patient outcomes and healthcare delivery.

Learning outcomes:
You will achieve the following learning outcomes:

• Describe the foundational concepts of machine learning in healthcare, distinguishing between supervised and unsupervised learning approaches.
• Explain the process of data preparation for training machine learning models, including data cleaning, normalization, and feature engineering techniques.
• Demonstrate proficiency in implementing various machine learning algorithms in Python, such as decision trees, support vector machines, and neural networks.
• Create machine learning models using appropriate algorithms to analyze healthcare data and extract meaningful insights.
• Generate predictions and recommendations based on trained machine learning models to support clinical decision-making and improve patient outcomes in healthcare settings.

Event Title : R for Data Visualization

Date: 16th April 2024

Time: 6:30 PM to 8:30 PM EAT

Location: Online

Description:

Unveil the art of data visualization with our R workshop. From basic charts to advanced graphs, master techniques to present insights effectively. Join now to transform your data into compelling visual narratives.

Learning Outcomes:

• Understand the importance of data visualization in analysis.

• Utilize R's libraries for creating various types of plots.

• Customize plots for effective data communication.

• Create interactive visualizations using R.

• Evaluate the effectiveness of different visualizations for specific scenarios.

About AfterWork

- We host workshops which are comprehensive training courses designed to give you insight into what data science and machine learning can do for your competitive advantage.

Who Should Attend

Perfect for individuals wanting to enhance their data visualization skills using R.

No prior experience required, suitable for beginners and intermediate learners.

Requirements

- Have access to a laptop.

- Have access to WI-FI or data.

Sign-up information

- This is a free event.

Prerequisites

No prior experience needed. This workshop caters to beginners and those interested in enhancing data visualization skills using R.

Overview:
In this summary course, you will learn various data visualization concepts covered in the Moringa School Data Visualization with Python Program. Once you've completed the summary course, you will be in a better position to know whether the program is for you. You'll also have gotten a head start in your data visualization journey.

Learning outcomes:
You will achieve the following learning outcomes:

• Describe foundational data visualization concepts.
• Prepare and clean data for data visualization.
• Create various plots to uncover insights within data using Python tools.
• Provide recommendations derived from data visualizations.

We have created this summary course based on the publicly available outline of the original course, with content that may differ from the original program. The summary course is independently developed and is not associated with Moringa School; it is a product of AfterWork.

Overview:
In this summary course, you will learn various data science concepts covered in the Moringa School Data Science Program. Once you've completed the summary course, you will be in a better position to know whether the program is for you. You'll also have gotten a head start in your data science journey.

Learning outcomes:
You will achieve the following learning outcomes:

• Apply fundamental Python programming concepts to solve data problems.
• Collect data from various sources using Python libraries and APIs.
• Use the Pandas library to manipulate and analyze structured data efficiently.
• Apply basic probability and statistical concepts to analyze datasets.
• Develop machine learning models to predict continuous outcomes based on input features.

We have created this summary course based on the publicly available outline of the original course, with content that may differ from the original program. The summary course is independently developed and is not associated with Moringa School; it is a product of AfterWork.