Data Advanced

Data science is transforming industries by uncovering insights from facts and numbers. This course introduces key data concepts, methodologies, and tools used in data analytics. You’ll explore real-world applications of data science, learn to clean and visualize data using IBM Watson Studio, and discover career paths in this growing field. 

• Core Data Concept Understanding: The ability to differentiate between data types, understand the principles of big data, and recognize various analytical approaches.
• Data Visualization Proficiency: Basic skill in creating and interpreting data visualizations to effectively communicate insights.
• Data Science Application Awareness: The capacity to identify and articulate how data science is utilized to solve problems and create value across different industries.
• Data Cleaning & Refinement: Hands-on ability to perform basic data cleaning and refinement tasks, preparing raw data for analysis.
• Practical Data Tool Usage (IBM Watson Studio): Foundational skill in navigating and utilizing platforms like IBM Watson Studio and its data refinery capabilities for data manipulation.

• Describe fundamental data concepts, including types of data, big data, and analytics techniques.
• Explain the steps in a typical data analytics process and the role of data visualization.
• Identify widely used data science methodologies and key activities in a data science project.
• Recognize how data science is applied across different industries.
• Understand the roles and responsibilities of data analysts, data scientists, and data engineers.
• Identify the purpose and use of common data analysis and visualization tools.
• Clean, refine, and visualize data using IBM Watson Studio with the data refinery tool.
• Explore the job market, required skills, and career pathways in data science.

• Comprehensive video lessons explaining core data concepts, including different types of data, the characteristics of big data, various analytics techniques, and fundamental data visualization principles.
• Practical case studies and demonstrations exploring how data science is applied across diverse industries and introducing common tools used for data analysis and visualization.
• Step-by-step tutorials and hands-on exercises guiding you through cleaning, refining, and visualizing data using platforms like IBM Watson Studio and its integrated data refinery tool.
• Certificate of completion upon successful course completion.