Advanced Skill Certificate in DS Basics
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- Data Wrangling with Pandas and Python
- Data Visualization with Matplotlib and Seaborn
- Exploratory Data Analysis (EDA) Techniques
- Machine Learning Fundamentals & Regression Models
- Classification Algorithms & Model Evaluation
- Data Mining and Feature Engineering
- Statistical Inference and Hypothesis Testing
- Introduction to Deep Learning with TensorFlow/Keras
CareerPath
Career Role Description Data Scientist (Primary: Data Science, Secondary: Machine Learning) Develops and implements advanced analytical models using Python and R to solve complex business problems.
High demand, competitive salary.
Data Analyst (Primary: Data Analysis, Secondary: SQL) Collects, cleans, and analyzes large datasets to extract insights and inform business decisions.
Strong SQL skills essential.
Growing job market.
Machine Learning Engineer (Primary: Machine Learning, Secondary: Deep Learning) Designs, builds, and deploys machine learning models at scale.
Expertise in Deep Learning frameworks is highly valued.
Excellent earning potential.
Business Intelligence Analyst (Primary: Business Intelligence, Secondary: Data Visualization) Transforms raw data into actionable business intelligence using data visualization tools like Tableau and Power BI.
Solid understanding of business processes.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
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- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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