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Career Advancement Programme in Data Analytics Basics
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Course Details
- Introduction to Data Analytics
- Data Wrangling and Cleaning with Python (pandas)
- Exploratory Data Analysis (EDA) and Visualization
- Data Mining and Predictive Modeling
- Regression Analysis and Machine Learning Algorithms
- Database Management for Data Analysts
- Communicating Data Insights and Storytelling
- Data Analytics Tools and Technologies (SQL, Tableau, Power BI)
Career Path
Career Role Description Data Analyst (Entry-Level) Gather, clean, and analyze data; build reports and dashboards using tools like SQL and Excel; excellent opportunity for data science beginners.
Business Intelligence Analyst Translate business problems into data analytics solutions; utilize tools such as Tableau and Power BI to create visualizations and reports; strong business analysis skills needed.
Data Scientist (Mid-Level) Develop and implement machine learning models; conduct advanced statistical analysis; collaborate with stakeholders to solve complex problems; requires strong programming (Python, R) and statistical modelling skills.
Data Engineer Design, build, and maintain data pipelines ; ensure data quality and integrity; utilize cloud platforms (AWS, Azure, GCP); solid understanding of database management is crucial.
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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