Topics:*
1. Machine Learning (ML) and Deep Learning (DL)
2. Natural Language Processing (NLP)
3. Data Visualization with Tableau and Power BI
4. Time Series Analysis
5. Statistical Modeling
*Skills:*
1. Advanced Python programming (NumPy, Pandas, Scikit-learn)
2. R programming (dplyr, tidyr, ggplot2)
3. Data Wrangling and Preprocessing
4. Predictive Modeling
5. Data Storytelling
*Technologies:*
1. TensorFlow and PyTorch for DL
2. SQL databases (MySQL, PostgreSQL)
3. NoSQL databases (MongoDB, Cassandra)
4. Cloud platforms (AWS, Azure, Google Cloud)
5. Data visualization tools (Matplotlib, Seaborn, Plotly)
These skills will enhance my data analysis and science capabilities, enabling me to:
- Drive business growth through predictive insights
- Improve data visualization and communication
- Expand my expertise in ML and DL
- Stay up-to-date with industry trends and technologies
DataCamp's interactive learning platform will help me achieve these goals, and I'm eager to start learning!