The Challenges Technology Bundles around Data Science offer a comprehensive suite of hands-on, scenario-based labs designed to enhance and validate your technical skills in data science. These labs provide immersive learning experiences and performance-based validation, covering a wide range of data science technologies and solutions. The challenges are divided into three levels of difficulty: Guided, Advanced, and Expert, ensuring that learners at all stages can benefit from the training.

• Guided Labs: These labs provide step-by-step instructions to help you understand the basics of data science technologies and solutions.
• Advanced Labs: These labs present more complex scenarios, requiring you to apply your knowledge and skills to solve real-world data science problems.
• Expert Labs: These labs challenge you with high-level scenarios that test your expertise and ability to innovate using advanced data science techniques.

Content:

Here are five examples of the data science challenges that can be found in the Challenge Labs Course Catalogue:

• Can You Perform Data Cleaning and Preprocessing?: Learn how to clean and preprocess data using Python, including handling missing values, outliers, and data normalization.
• Can You Build and Evaluate Machine Learning Models?: Explore how to build and evaluate machine learning models using scikit-learn, including model selection, training, and validation.
• Can You Implement Data Visualization Techniques?: Understand how to implement data visualization techniques using libraries like Matplotlib and Seaborn, including creating various types of plots and charts.
• Can You Perform Exploratory Data Analysis (EDA)?: Gain hands-on experience in performing exploratory data analysis using Python, including data summarization, visualization, and hypothesis testing.
• Can You Deploy Machine Learning Models?: Learn how to deploy machine learning models using Flask and Docker, including setting up a web service and containerizing the application.

Audience:

These challenges are ideal for IT professionals, data scientists, and anyone looking to enhance their technical skills and validate their expertise in data science. Whether you are preparing for certifications, seeking to improve your job performance, or simply looking to stay current with the latest technological advancements, these challenges provide the resources you need to succeed. They are particularly beneficial for:

• Data scientists and analysts
• IT administrators and support staff
• Developers and software engineers
• Machine learning engineers
• Business intelligence professionals

Good to Know:

• Learners enjoy 90-day access to the labs, allowing you to learn at your own pace and revisit challenges as needed.
• You can launch a challenge up to 5 times, providing ample opportunity to practice and master the skills.
• There are currently 57 challenges available in the Data Science Technology Bundle