Cybersecurity
Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users via ransomware; or interrupting normal business processes.
Advantage of this course
- Democratizing data analytics
- Foundational knowledge
- Problem-solving
- Better collaboration
- Career advancement
- Critical thinking
About The Course
In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem. You will gain an understanding of data structures, file formats, sources of data, and data repositories. You will understand what Big Data is and the features and uses of some of the Big Data processing tools. This course will introduce you to the key tasks a Data Analyst performs in a typical day. This includes how they identify, gather, wrangle, mine and analyze data, and finally communicate their findings to different stakeholders impactfully. You will be introduced to some of the tools Data Analysts use for each of these tasks.
What Will You Learn
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Explain what Data Analytics is and the key steps in the Data Analytics process
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Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
- Describe the different types of data structures, file formats, and sources of data
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Explain the use for different types of data repositories, the ETL process, and Big Data platforms
- Describe the process and tools for gathering data, wrangling data, mining and analyzing data, and visualizing data
- List the different career opportunities in Data Analysis and resources for getting skilled in this domain
Buy Now Cybersecurity
Course Contents
Introduction to Data Analytics
Introduction to Statistical Analysis
Data Visualization
FAQ
The course will cover data import and export, data cleaning, data visualization, statistical analysis, machine learning basics, and real-world projects for hands-on experience.
Data analysts are in demand across various industries, including finance, healthcare, marketing, and technology, with opportunities for career growth and specialization.
Yes, most data analytics courses include real-world projects and case studies where you can apply your learned skills to practical scenarios using real datasets.
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