You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. Towards the end the course, you will create a final project with a Jupyter Notebook. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. This course teaches you about the popular tools in Data Science and how to use them. In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. By taking this introductory course, you will begin your journey into the thriving field that is Data Science! You will meet several data scientists, who will share their insights and experiences in Data Science. This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business. In today's world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions. Since then, people using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. The art of uncovering the insights and trends in data has been around since ancient times. Projeto de Aprendizagem Aplicadaĭo you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field. 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. It’s a myth that to become a data scientist you need a Ph.D. 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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