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Data Science And Big Data Analytics Course
Unleash the power of data with our Data Science and Big Data Analytics Course, tailored for tech professionals keen to get ahead. Get to grips with data cleaning and preprocessing, explore cutting-edge visualisation tools, and learn to generate insights you can act on. Delve into statistical analysis methods, including inferential statistics and regression analysis. Hone your skills in report preparation and presentation, ensuring crystal-clear communication of complex data. Join us to transform raw data into strategic assets.
- Master data cleaning: Handle missing data and ensure consistency.
- Create impactful visualisations: Use tools to craft clear, effective charts.
- Conduct exploratory data analysis: Uncover insights through EDA techniques.
- Generate actionable insights: Identify patterns and communicate findings.
- Apply statistical methods: Use inferential and descriptive statistics effectively.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Unleash the power of data with our Data Science and Big Data Analytics Course, tailored for tech professionals keen to get ahead. Get to grips with data cleaning and preprocessing, explore cutting-edge visualisation tools, and learn to generate insights you can act on. Delve into statistical analysis methods, including inferential statistics and regression analysis. Hone your skills in report preparation and presentation, ensuring crystal-clear communication of complex data. Join us to transform raw data into strategic assets.
Elevify advantages
Develop skills
- Master data cleaning: Handle missing data and ensure consistency.
- Create impactful visualisations: Use tools to craft clear, effective charts.
- Conduct exploratory data analysis: Uncover insights through EDA techniques.
- Generate actionable insights: Identify patterns and communicate findings.
- Apply statistical methods: Use inferential and descriptive statistics effectively.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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