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Overview
This Data Analytics Essentials course is taught by world-renowned experts.
In-Demand Languages, Tools, and Skills
- Python Foundations (NumPy, Pandas, Seaborn)
- Business statistics
- Data Visualization (Power BI, Tableau)
- Querying data with SQL
- Exploratory Data Analysis
Job-Ready in 16 Weeks
- Apply your skills to three hands-on projects with specific industry-relevant applications
- Enhance your resume and secure career opportunities with career support services
- Work on projects alongside established data scientists and fellow learners worldwide
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Descriptive Statistics
- Overview of Industry 4.0 and world of Data
- Generating Insights using Excel
- Querying data with SQL
- Advanced Querying to extract business insights
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- The admissions are closed after the required number of participants has registered for the upcoming batch.
Language
English
Delivered
Online
Campus Location
- Austin, United States
Disciplines
Data Analytics View 179 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteWhat students do after studying
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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
The eligibility criteria for this course are as follows:
- Recent graduates and early career professionals looking to acquire job-ready skills in the fields of business intelligence and data analytics can enroll in this course. The course trains and prepares students for a job role as a business analyst or data analyst.
- Candidates who are looking to enter the world of data and leverage it to make analytical decisions across several industries.
- Candidates who want to develop the fundamentals of data analysis over a condensed timeframe with a realistic resource investment.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents2900 USD / full≈ 2900 USD / full - Out-of-State2900 USD / full≈ 2900 USD / full
-
Domestic
Applies to youIn-State2900 USD / full≈ 2900 USD / full
Funding
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