Certified Professional in Data Analytics Essentials
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- Data Wrangling and Preprocessing
- Exploratory Data Analysis (EDA) and Visualization
- Data Mining Techniques
- Statistical Analysis for Data Analytics
- Data Warehousing and Data Lakes
- Database Management Systems (DBMS)
- Predictive Modeling and Machine Learning
- Data Storytelling and Communication
- Ethical Considerations in Data Analytics
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Career Role Description Data Analyst (UK) Analyze large datasets to identify trends and insights, providing data-driven recommendations to improve business operations.
High demand for SQL, Python and visualization skills.
Business Intelligence Analyst (UK) Develop and maintain business intelligence dashboards and reports, translating complex data into actionable insights for strategic decision-making.
Requires strong data visualization and communication skills.
Data Scientist (UK) Develop advanced analytical models, using machine learning and statistical techniques to predict future outcomes and solve complex business problems.
Strong programming (Python/R) and statistical modeling skills are essential.
Data Engineer (UK) Design, build, and maintain data pipelines and infrastructure, ensuring data quality and accessibility.
Expertise in cloud technologies (AWS, Azure, GCP) and database management is crucial.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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