Description
Price: 10.00 USD | Size: 1.17 GB | Duration : 9.40 Hours | 129 Video Lessons
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD |
4.9
Introduction to Data Science Specialization
Launch your career in data science. Gain foundational data science skills to prepare for a career or further advanced learning in data science. “Data Science Essentials: Expert Training Course”
What you’ll learn
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Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists
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Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio
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Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems
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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)
What is Data Science?
What you’ll learn
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Define data science and its importance in today’s data-driven world.
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Describe the various paths that can lead to a career in data science.
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Summarize advice given by seasoned data science professionals to data scientists who are just starting out.
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Explain why data science is considered the most in-demand job in the 21st century.
Skills you’ll gain
Tools for Data Science
What you’ll learn
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Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools
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Utilize languages commonly used by data scientists like Python, R, and SQL
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Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
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Create and manage source code for data science using Git repositories and GitHub.
Skills you’ll gain
Data Science Methodology
What you’ll learn
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Describe what a data science methodology is and why data scientists need a methodology.
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Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study.
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Evaluate which analytic model is appropriate among predictive, descriptive, and classification models used to analyze a case study.
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Determine appropriate data sources for your data science analysis methodology.
Skills you’ll gain
Databases and SQL for Data Science with Python
What you’ll learn
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Analyze data within a database using SQL and Python.
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Create a relational database and work with multiple tables using DDL commands.
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Construct basic to intermediate level SQL queries using DML commands.
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Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.
Skills you’ll gain
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