CompTIA Data+: Data Analytics Tools

CompTIA    |    Intermediate
  • 21 videos | 2h 13m 59s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 32 users Rating 4.3 of 32 users (32)
Data that lives in a database is only part of the equation when considering data analytics. Data needs to be accessed and processed in order to be useful. The importance of data in the modern world can easily be observed by considering the sheer number of data analytics tools. Without these tools, data loses some of its usefulness. In this course, you will explore popular data analytics tools, beginning with Structured Query Language (SQL), and Python. Next, you will dig into data science styling recommendations in Python, data science reporting best practices, Microsoft Excel, and the R programming language. Then you will discover tools like RapidMiner, IBM Cognos, IBM SPSS Modeler, SPSS, SAS, Tableau, and Power BI. Finally, you will focus on the purposes and roles of tools such as Qlik, MicroStrategy, BusinessObjects, APEX, Amazon QuickSight, Stata, and Minitab. This course can be used to prepare for CompTIA Data+ (DA0-001) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the purpose and role of structured query language (sql) as an important data analytics tool
    Use key sql commands and activities, including how to create and modify databases
    Describe the python language and its role in data analytics
    Work with python in data analytics
    Recognize style suggestions for authoring data science code in python
    Outline best practices that can be employed when creating data science reports
    Outline the purpose and role of microsoft excel as a tool for engaging in data analytics
    Perform basic methods of data cleaning and analysis in microsoft excel
    Describe the r programming language and its role in data analytics
    Work with r in data analytics
  • Outline the purposes of rapidminer and ibm cognos and the roles they play in data analytics
    Outline the purposes of ibm spss modeler and ibm spss statistics and the roles they play in data analytics
    Describe the purposes of sas and tableau and the roles they play in data analytics
    Identify the purposes of power bi and qlik and the roles they play in data analytics
    Outline the purposes of microstrategy and businessobjects and the roles they play in data analytics
    Describe the purpose of oracle apex and the role it plays in data analytics
    Outline the purpose of amazon quicksight and the role it plays in data analytics
    Describe the purposes of stata and minitab and the roles they play in data analytics
    Describe principles for writing professional-quality data science code
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 11s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 30s
    After completing this video, you will be able to outline the purpose and role of Structured Query Language (SQL) as an important data analytics tool. FREE ACCESS
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    3.  Working with SQL
    7m 18s
    Find out how to use key SQL commands and activities, including how to create and modify databases. FREE ACCESS
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    4.  Python Programming Language in Data Analytics
    6m 53s
    Upon completion of this video, you will be able to describe the Python language and its role in data analytics. FREE ACCESS
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    5.  Working with Python
    7m 34s
    In this video, find out how to work with Python in data analytics. FREE ACCESS
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    6.  Data Science Style Guide
    11m 55s
    After completing this video, you will be able to recognize style suggestions for authoring data science code in Python. FREE ACCESS
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    7.  Data Science Reporting Best Practices
    7m 55s
    Upon completion of this video, you will be able to outline best practices that can be employed when creating data science reports. FREE ACCESS
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    8.  Microsoft Excel as a Data Analytics Tool
    6m 24s
    After completing this video, you will be able to outline the purpose and role of Microsoft Excel as a tool for engaging in data analytics. FREE ACCESS
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    9.  Performing Data Analysis in Excel
    7m 20s
    During this video, discover how to perform basic methods of data cleaning and analysis in Microsoft Excel. FREE ACCESS
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    10.  R Programming Language
    6m 12s
    After completing this video, you will be able to describe the R programming language and its role in data analytics. FREE ACCESS
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    11.  Working with R
    11m 25s
    Learn how to work with R in data analytics. FREE ACCESS
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    12.  RapidMiner and IBM Cognos in Data Analytics
    4m 54s
    Upon completion of this video, you will be able to outline the purposes of RapidMiner and IBM Cognos and the roles they play in data analytics. FREE ACCESS
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    13.  IBM SPSS Modeler and SPSS Statistics
    4m 12s
    After completing this video, you will be able to outline the purposes of IBM SPSS Modeler and IBM SPSS Statistics and the roles they play in data analytics. FREE ACCESS
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    14.  SAS and Tableau in Data Analytics
    5m 48s
    Upon completion of this video, you will be able to describe the purposes of SAS and Tableau and the roles they play in data analytics. FREE ACCESS
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    15.  Power BI and Qlik in Data Analytics
    6m 41s
    In this video, we will identify the purposes of Power BI and Qlik and the roles they play in data analytics. FREE ACCESS
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    16.  MicroStrategy and BusinessObjects in Data Analytics
    4m 41s
    After completing this video, you will be able to outline the purposes of MicroStrategy and BusinessObjects and the roles they play in data analytics. FREE ACCESS
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    17.  Oracle APEX in Data Analytics
    7m 13s
    In this video, we will describe the purpose of Oracle APEX and the role it plays in data analytics. FREE ACCESS
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    18.  Amazon QuickSight in Data Analytics
    6m 43s
    Upon completion of this video, you will be able to outline the purpose of Amazon QuickSight and the role it plays in data analytics. FREE ACCESS
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    19.  Stata and Minitab in Data Analytics
    7m 45s
    After completing this video, you will be able to describe the purposes of Stata and Minitab and the roles they play in data analytics. FREE ACCESS
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    20.  Writing Professional Data Science Code
    4m 24s
    Upon completion of this video, you will be able to describe principles for writing professional-quality data science code. FREE ACCESS
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    21.  Course Summary
    59s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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