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Career Advancement Programme in Data Analysis for Student Learning
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CourseDetails
- Introduction to Data Analysis and its Applications
- Data Wrangling and Preprocessing Techniques
- Exploratory Data Analysis (EDA) and Visualization
- Regression Analysis and Predictive Modeling
- Data Mining and Machine Learning Algorithms
- Statistical Inference and Hypothesis Testing
- Database Management and SQL for Data Analysts
- Communicating Data Insights and Storytelling with Data
CareerPath
Career Role (Data Analysis) Description Junior Data Analyst Entry-level role focused on data cleaning, preparation, and basic analysis.
Develops foundational data analysis skills.
Data Analyst (Mid-Level) Performs advanced data analysis , interprets findings, and communicates insights to stakeholders.
Requires proficiency in SQL and visualisation tools.
Senior Data Analyst Leads data analysis projects, mentors junior team members, and develops strategic insights from complex datasets.
Strong business intelligence skills are essential.
Business Intelligence Analyst Focuses on leveraging data analysis to inform business decisions and improve operational efficiency.
Strong communication and presentation skills are key.
Data Scientist Develops advanced analytical models and algorithms using machine learning techniques.
Requires programming expertise and a strong statistical background.
Expert in predictive analytics .
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
- NotRegulatedAuthorized
- ComplementaryFormalQualifications
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- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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