By the end of this course, you will be able to:

• Outline the workflow of Google Analytics
• Define key terminologies of GA
• Compare the various types of reports in Google Analytics
• Explain how to create and share a customized GA dashboard
• Summarize the installation of Google Analytics code on your WordPress site
• Summarize gaining valuable insights from the various reports on GA
• Describe how to segment reports on Google Analytics
• Discuss how to set up campaigns and goals on Google Analytics
• State the steps to tracking YouTube channels on GA
• Recall how to set custom alerts on Google Analytics

By the end of this course, you will be able to:

• Analyze the elements of the Subplot2grid
• Recognize the process of adding legends to a chart
• Explain the uses of the high minus low indicator
• Outline the main Basemap customization options
• Describe the process of creating moving averages
• Discuss the commands used in Matplotlib
• Summarize the process of pulling pie chart pieces apart
• Explain the benefits of using stack plots
• List the examples of grid modifications you can make on the chart

By the end of this course, you will be able to:

• Define the concept of database security
• Identify the various types of database inferences attacks
• Discuss the process of building MySQL Security Lab
• Analyze the architecture and exploits of MySQL
• Recognize the best practices of database security
• Summarize the notion of platform hardening
• Define the term "Data Storage Security"
• Describe the procedures for managing encryption keys
• Summarize the various types of disk storage
• Identify the most important best practices in key management
• Discuss the concept of big data
• Explain the various kinds of big data processing frameworks

By the end of this course, you will be able to:

• Outline the basic properties of Facebook marketing
• Define the concept of 'going viral' on Facebook
• Describe the various promotion channels
• Discuss the different pros and cons of using a Facebook personal page for marketing
• Explain the process of creating an effective Facebook business page
• Outline the concept of Facebook Marketplace
• Discuss the pros and cons of using 'buy and sell' local groups
• Explain the process of marketing using Facebook groups

By the end of this course, you will be able to:

• Explain what APIs are
• List the requirements needed to use APIs
• Recognize the time limitations that Twitter has
• Select specific times to obtain tweets
• Describe how to send a request to Twitter’s API
• Identify the methods of finding relevant data
• Indicate how to adjust and add ticks to graphs

By the end of this course, you will be able to:

• Define the difference between Power BI Online and Power BI Desktop
• Summarize how to perform big data analytics using real world scenario
• Outline how to transform and customize big data
• Recall using Power BI Online and Power BI Desktop
• Discuss the process of downloading Power BI Desktop
• Describe how to create an online account for Power BI Online
• Indicate the manner to create powerful visualization based on big data
• Describe sharing dashboards with other users by emailing them directly or creating a URL link
• Recall asking questions of big data in plain English language

By the end of this course, you will be able to:

• Identify the main logical and financial functions in a spreadsheet
• Compute values using the ‘if’ function
• Indicate arguments as true or false using the ‘and’ function
• Compare the uses of logical functions ‘and/if’, ‘iferror’ and ‘xor’
• List the uses of financial functions: present Value, future value, payment, price and yield
• Analyze data and information with the use of financial functions
• Identify the applications of ‘text’, ‘lookups’ and ‘reference’ functions in Excel
• Arrange data in a user-friendly format
• Classify data according to specified categories or values
• Summarize findings for meaningful reporting
• Compare the features of ‘lookup’ functions
• Select the right tabs and perform different tasks in Excel

By the end of this course, you will be able to:

• Discuss the functions and capabilities of Azure Stream Analytics (ASA)
• Recall how to input data into ASA
• Describe how to create queries and data analysis pipelines with ASA
• Discuss how to output the results of the data analysis pipeline to various output formats
• Explain how to work with ASA and Microsoft Power Business Intelligence
• Outline how to visualize your data