Course Overview
- Course Title: Certified Data Science Professional
- Instructor: Muhammad Shafiq (Data Scientist | AI & ML Engineer | Lecturer | Researcher)
- Target Audience:
- Beginners in data science
- Aspiring data science professionals
- Professionals transitioning into data science roles
- Students seeking certification in data science
- Prerequisites:
- Basic computer literacy
- None (prior programming experience helpful but not required)
Curriculum Highlights
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Key Topics Covered:
- Python Programming for data manipulation, analysis, and visualization
- Statistical Analysis (core concepts, hypothesis testing, inferential statistics)
- Machine Learning (regression, classification, clustering, deep learning basics)
- SQL for querying and managing relational databases
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Model Deployment & Interpretation
- Real-World Case Studies & Projects
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Key Skills Learned:
- Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn)
- Ability to perform statistical data analysis
- Hands-on experience with machine learning algorithms
- Competency in SQL for data extraction and management
- Skills to clean, preprocess, and visualize data
- Capability to build and deploy predictive models
- Portfolio-ready data science projects
Course Format
- Duration:
- 2 practice tests
- Self-paced (lifetime access)
- Format:
- Online course (pre-recorded video lectures)
- Mobile-accessible (learn on-the-go)
- Resources:
- Practice tests for certification preparation
- Access to instructor support
- Community discussion forums
Special Offer (If Applicable)
- Limited Time Coupon Code: N/A