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 from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.
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 successfully 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.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in data science.
WHAT YOU WILL LEARN
- Learn what data science is, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist
- Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
- Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
- Apply various data science skills, techniques, and tools to complete a project and publish a report
This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that will 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, python-sql, Scikit-learn, ScipPy, etc.
- Projects: random album generator, predict housing prices, best classifier model, Predicting successful rocket landing, dashboard and interactive map