• Overview
  • Curriculum

Data science

Data science is the study of data to extract meaningful insights for business.

  • 6 Total Students
  • 4.5 (1254 Rating)
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What you’ll learn?

    Cloud Computing:

    Utilizing remote servers to store, control, and handle data and applications online is known as cloud computing.

    Microsoft Excel:

    Microsoft Excel is a spreadsheet program used for data display and analysis.

    DevOps:

    A technique of developing software that places a strong emphasis on teamwork and communication between the development and operations teams.

    Data Extraction, Transformation, and Loading:

    Data collection, cleansing, and preparation for analysis is known as data extraction, transformation, and loading.

Requirements

    "Out-of-the-Box” Thinking:

    Using creative and innovative thinking to generate novel ideas and unconventional answers.

    Critical Thinking:

    The process of evaluating and analyzing data in order to make a judgment or choice is known as critical thinking.

    Decision Making:

    Making decisions entails choosing the best course of action from a range of alternatives after carefully weighing all pertinent information.

Instructors

Kamil Alasgarov

Data Analyst

Table of contents