IBM Data Science Professional Certificate with Hands-on Projects
Overview:
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data-driven decisions has never been greater. This Professional Certificate will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills.
It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist.
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
Upon completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.
What you'll learn?
- Describe what is data science, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist
- Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
- Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
- Apply various data science skills, techniques, and tools to complete a project using a real-world data set and publish a report for stakeholders
Skills you'll gain:
- Data Science
- Deep Learning
- Machine Learning
- Big Data
- Data Mining
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
- Methodology
- CRISP-DM
- Data Analysis
Applied Learning Projects:
This Professional Certificate has a strong emphasis on applied learning. The courses include a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs, including:
Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
Projects:
- Extract and graph financial data with the Pandas Python library.
- Use SQL to query census, crime, and school demographic data sets.
- Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.
- Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.
- Apply and compare machine learning classification algorithms to predict whether a loan case will be paid off or not.
- Train and compare machine learning models to predict if a space launch can reuse the first stage of a rocket.
What is a Professional Certificate?
- Build the Skills to Get Job Ready
- Hands-On Projects
- Earn a Career Credential