Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.Ĭreate a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.Īpply and compare machine learning classification algorithms to predict whether a loan case will be paid off or not. Use SQL to query census, crime, and school demographic data sets. Libraries : Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.Įxtract and graph financial data with the Pandas Python library. Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
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The courses include a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs, including:
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This Professional Certificate has a strong emphasis on applied learning. This program is ACE® recommended-when you complete, you can earn up to 12 college credits. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM. 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. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. 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. 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. blocks for developing interactive, exploratory analytics computations with Python. It’s a myth that to become a data scientist you need a Ph.D. JupyterLab with default Git integration (Watson Studio) JupyterLab enables you to work with documents and activities such as Jupyter notebooks, Python scripts, text editors, and terminals side by side in a tabbed work area. This Professional Certificate will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills. 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.
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