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
Coursera
Discover the essential techniques and strategies in Data Science Methodology. This course will guide you through understanding data, asking the right questions, and applying scientific methods to derive meaningful insights from your data. Perfect for beginners and professionals alike.
Coursera
Embark on a journey into the world of programming with our beginner-friendly Python course. This course is tailored for those new to coding and aims to equip you with the foundational knowledge needed for data science, AI, and software development. Dive deep into Python's capabilities and start your path towards becoming a proficient coder.
Coursera
Discover the power of Machine Learning with Python in this beginner-friendly course. Learn about the purpose and practical applications of Machine Learning, delve into key concepts like supervised and unsupervised learning, model evaluation techniques, and explore a variety of essential machine learning algorithms.
Coursera
Explore the fascinating world of data science with this beginner-friendly course. Uncover the secrets behind extracting insights from data and learn how professionals apply these skills across different industries to solve complex problems.
Coursera
Discover the essential tools of the trade in data science with our course 'Tools for Data Science'. From Jupyter Notebooks to RStudio IDE, learn how to harness these powerful tools for Python, R, and Scala programming. Gain hands-on experience using cloud-hosted versions on Cognitive Class Labs.
Coursera
Discover how to turn complex datasets into clear, engaging visuals with our Data Visualization with Python course. Gain essential skills in data storytelling and decision-making through effective visualization techniques.
Coursera
Embark on a journey into the world of data with 'Data Analysis with Python'. This course is designed for beginners who want to learn how to analyze data using Python. From understanding basic Python syntax to diving deep into complex data analysis techniques, this course will equip you with the skills needed to unlock the power of data.
Coursera
Embark on a journey into the world of databases and SQL with our expert-led course tailored for budding data scientists. Dive deep into understanding relational databases and mastering the SQL language to unlock powerful data extraction and manipulation capabilities within a data science environment. Start your path to becoming a proficient data analyst today!
Coursera
Embark on a practical journey through Coursera's Applied Data Science Capstone course. This comprehensive program will equip you with the skills to tackle real-world data challenges, focusing on location data, Foursquare API integration, creative data sourcing via web scraping, and advanced data manipulation using Python and pandas. You'll also learn how to visualize your findings with geospatial mapping through Folium.