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Specialization Online

Key Technologies in Data Analytics Coursera

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Understand the technologies behind data analysis. Master techniques and terminology used in Data Science. This Key Technologies in Data Analytics Specialization is offered by Coursera in partnership with LearnQuest.

Overview

This Key Technologies in Data Analytics Specialization is offered by Coursera in partnership with LearnQuest. This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You’ll be introduced to core concepts and you’ll learn about the tools and skills required to conduct data analysis. 

The second course, Fundamentals of Cloud Computing, will introduce you to core concepts of cloud computing and the primary deployment and service models. The hands on material offers the opportunity to review and configure a cloud account. 

Skills you'll gain

  • Data Management
  • Big Data
  • Leadership and Management
  • Data Analysis
  • Data Structures
  • Databases
  • Security Engineering
  • Network Security
  • Data Visualization
  • Cloud Computing

Programme Structure

Courses included:

  • Fundamentals of Data Analysis
  • Fundamentals of Cloud Computing
  • Fundamentals of Data Warehousing
  • Fundamentals of Big Data

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • Recommended experience: No prior data analytics experience is necessary. Learners should understand computing and internet concepts.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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