Data Analyst Core

Core skills for data analysts include using prescribed analytical techniques and tools to collect, clean, manage, and analyze data; identifying insights to solve business problems; and visualizing data to successfully communicate results in a clear way to stakeholders. Data analysts have prerequisite knowledge in basic mathematics and statistics as well as business acumen. Along the way, you’ll deep dive into ways that AI makes predictions, understands language and images, and learn using circuits inspired by the human brain. After a hands-on simulation in which you build and test a machine learning model, you’ll finish with tips on how to find your own career in artificial intelligence.

What you’ll learn

• Describe fundamental data concepts including types of data, big data, analytics techniques, typical steps in the data analytics process, and data visualization
• Identify widely adopted data science methodologies and explain the activities in a typical data science project
• Identify applications of data science across industries in the world
• Describe the role of a data analyst, data scientist, and data engineer
• Identify the purpose and use of some common data analysis and visualization tools
• Clean, refine, and visualize data using IBM Watson Studio with the data refinery tool
• Recognize the job market, responsibilities and skill sets of a data analyst and data scientist, and resources and learning opportunities to explore
• Create pivot-tables and pivot-graphs in Excel
• Customize charts of any complexity with ease
• Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Donut and Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots, Scatter Plots, Heatmaps
• Feel comfortable managing various Matplotlib Artists such as Legends, Annotations, Texts, Patches, Lines, Collections, Containers, Axis
• Create statistical charts with Seaborn
• Describe the iterative Tableau Desktop workflow of connecting to, analyzing, and sharing your data.
• Connect to and preview data in Tableau Desktop.
• Practice cleaning, refining, and visualizing data, in a series of simulations, using IBM Watson Studio with the data refinery tool.

Approximate Duration: 25 Hours