Course Overview
- Course Title: Data Science Mastery:10-in-1 Data Interview Projects showoff
- Instructor: Tamer Ahmed
- Target Audience:
- Aspiring data scientists
- Individuals with a basic understanding of mathematics and programming
- Professionals looking to enhance their skills in data analysis and machine learning
- Prerequisites:
- Basic understanding of mathematics (statistics, algebra)
- Some experience with programming, preferably in Python
- Basic understanding of machine learning concepts (helpful but not mandatory)
- Access to a computer with internet and ability to install Python and related libraries
Curriculum Highlights
- Key Topics Covered:
- Exploratory Data Analysis
- Sentiment Analysis
- Predictive Modeling
- Time Series Analysis
- Big Data Analytics
- Tabular Playground Series Analysis
- Customer Churn Prediction
- Image Classification
- Fraud Detection
- Housing Price Prediction
- Key Skills Learned:
- Data preprocessing and visualization
- Machine learning model training and evaluation
- Natural language processing techniques
- Time series data forecasting
- Big data processing with Apache Spark
- Real-world problem-solving with machine learning
- Building a portfolio of hands-on projects
Course Format
- Duration: 5.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- Assignments
- 1 article
- 10 downloadable resources
- Access on mobile and TV
- Certificate of completion