Career Advancement Programme in Data Analysis for Student Growth
-- viewing nowData Analysis Career Advancement Programme empowers students to thrive in the data-driven world. This programme builds essential skills in data wrangling, statistical analysis, and data visualization.
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Course details
• Exploratory Data Analysis (EDA) and Visualization
• Statistical Inference and Hypothesis Testing
• Regression Analysis and Predictive Modeling
• Machine Learning Fundamentals
• Data Storytelling and Communication
• Database Management Systems (DBMS)
• Big Data Technologies (Introduction)
• Portfolio Development and Job Search Strategies
Career path
Career Role (Data Analysis) | Description |
---|---|
Junior Data Analyst | Entry-level role focusing on data cleaning, preparation, and basic analysis. Develops foundational skills in SQL and data visualization. |
Data Analyst (Mid-Level) | Performs complex data analysis, identifies trends, and creates insightful reports. Proficient in statistical software and data mining techniques. Strong communication skills are essential. |
Senior Data Analyst/Data Scientist | Leads data analysis projects, develops predictive models, and presents findings to stakeholders. Expert in statistical modeling, machine learning, and big data technologies. |
Business Intelligence Analyst | Focuses on data analysis to support business decision-making. Creates dashboards and reports that visualize key performance indicators (KPIs) and identify areas for improvement. |
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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