Data Analysis focuses on examining and interpreting data to uncover meaningful information. It involves techniques such as data cleaning, visualization, exploration, and statistical analysis. Data analysts use tools like spreadsheets, SQL, and basic programming to analyze data sets and generate descriptive statistics and visualizations. They aim to understand trends, relationships, and anomalies within the data.
On the other hand, Data Science is a broader field that encompasses the entire data lifecycle, including data collection, cleaning, analysis, modeling, and interpretation. Data scientists utilize advanced analytical techniques, machine learning algorithms, and statistical models to derive insights from data. They often employ programming languages such as Python or R and leverage tools like Jupyter notebooks and libraries like TensorFlow or scikit-learn.
| Source | Course Code | Course Name | Session | Difficulty | URL |
|---|---|---|---|---|---|
| Microsoft | Data Science for Beginners - A Curriculum | ⭐ | Website | ||
| University of Michigan | Data Science Ethics | ⭐ | Coursera (Free) | ||
| Harvard | Data Science: Machine Learning | - | ⭐ | Course Website | |
| Stanford University | Stanford CS472 | Data science and AI for COVID-19 | N/A | ⭐ | Youtube |
| University of London | Data Science | Foundations of Data Science: K-Means Clustering in Python | ⭐ | Coursera - Free Audit | |
| Microsoft and Linkedin Learning | Career Essentials in Data Analysis by Microsoft and LinkedIn | ⭐ | Link (Free) | ||
| Microsoft and Linkedin Learning | Career Essentials in Business Analysis by Microsoft and LinkedIn | ⭐ | Link (Free) | ||
| Data Science with Python | URL | ||||
| Harvard | High-Dimensional Data Analysis | - | ⭐ | Course Website | |
| University of Tübingen | - | Neural Data Science — Philipp Berens | 2021 | ⭐⭐ | Youtube |
| Source | Course Code | Course Name | Session | Difficulty | URL |
|---|---|---|---|---|---|
| Google Analytics for Beginners | URL | ||||
| Advanced Google Analytics | URL | ||||
| Google Analytics for Power Users | URL |