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Description of  Coursera Introduction to Data Science Specialization

Last updated 2/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 129 Lessons ( 9h 40m ) | Size: 1.2 GB Launch your career in data science. Gain foundational data science skills to prepare for a career or further advanced learning in data science. What you'll learn Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems Write SQL statements and query Cloud databases using Python from Jupyter notebooks Skills you'll gain Data Science Python Programming Cloud Databases SQL Relational Database Management System (RDBMS) You'll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. You'll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real world data sets. In addition to earning a Specialization completion certificate from Coursera, you'll also receive a digital badge from IBM recognizing you as a specialist in data science foundations. This Specialization can also be applied toward the IBM Data Science Professional Certificate. Applied Learning Project All courses in the specialization contain multiple hands-on labs and assignments to help you gain practical experience and skills with a variety of data sets and tools like Jupyter, GitHub, and R Studio. Build your data science portfolio from the artifacts you produce throughout this program. Course-culminating projects include Creating and sharing a Jupyter Notebook containing code blocks and markdown Devising a problem that can be solved by applying the data science methodology and explain how to apply each stage of the methodology to solve it Using SQL to query census, crime, and demographic data sets to identify causes that impact enrollment, safety, health, and environment ratings in schools