IBM Data Science Professional Certificate is designed to help individuals interested in pursuing a career in data science or machine learning to develop career-relevant skills. It consists of 9 online courses and 1 hands-on project covering a range of topics including open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. The courses are hands-on and take place in the IBM Cloud using real data sets. Upon completion, individuals will have built a portfolio of data science projects and will receive a Professional Certificate from Coursera, and a digital badge from IBM. The program emphasizes applied learning and includes practical skills with applicability to real jobs.
- 01. What is Data Science?
- 02. Tools for Data Science
- 03. Data Science Methodology
- 04. Python for Data Science, AI & Development
- 05. Python Project for Data Science
- 06. Databases and SQL for Data Science with Python
- 07. Data Analysis with Python
- 08. Data Visualization with Python
- 09. Machine Learning with Python
- 10. Applied Data Science Capstone
- Data Science
- Deep Learning
- Machine Learning
- Big Data
- SQL
- Data Mining
- Github
- Python Programming
- Jupyter Notebooks
- Rstudio
- Methodology
- CRISP-DM
- Data Analysis
- Wrangle Data
- IBM Watson
- IBM Cloud Pak
- IBM DB2
- Pandas
- Scikit-learn
- SciPy
- NumPy
- Matplotlib
- Bokeh
- Folium
- Plotly
- Seaborn
- Plotnine(ggplot)
- Rav Ahuja
- Aije Egwaikhide
- Romeo Kienzler
- Joseph Santarcangelo
- Hima Vasudevan
- SAEED AGHABOZORGI
- Alex Aklson
- Svetlana Levitan
- Polong Lin
- Azim Hirjani
- Saishruthi Swaminathan
- Yan Luo
