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Career Advancement Programme in Data Analytics Basics
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CourseDetails
- 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)
CareerPath
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.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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