Online Course – Certified Professional Specialization in Data Science: Fundamentals with Python and SQL by Coursera, IBM

Build the foundation for your data science career. Get hands-on experience with Majopar, Python, and SQL. Perform statistical analysis on real data sets.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Open source tools and libraries
  • Python
  • Statistical analysis
  • SQL
  • Relational databases
  • Hands-on experience with real data sets
  • Calculating and graphing financial data using Pandas
  • Creating visualizations and performing statistical tests
  • Researching population, crime, and demographic datasets

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Data Analyst
  • Python developer
  • Statistical analyst
  • SQL Expert
  • Relational Database Administrator
  • Data Solutions Developer
  • Data Consultant
  • Data scientist
  • Predictive modeling developer

Micro – 5-course course series

Data science is one of the most in-demand professions in recent years. The demand for data scientists who can analyze data and communicate results to optimize data-driven decisions has never been higher. This specialization from IBM will help anyone interested in developing a career in data science by learning the foundational skills that will help them get started in the field.

The specialization includes 5 self-paced online courses that will provide you with the foundational skills required in data science, including:

  • Open source tools and libraries
  • Python
  • Statistical analysis
  • SQL
  • Relational databases

You will learn the tools needed in data science through hands-on practice using real data science tools and real datasets.

No prior knowledge of computer science or programming languages ​​is required. The program is ACE® recommended—when you graduate, you can earn up to 8 college credits.

Hands-on Learning Project

All courses in the specialization include extensive labs and hands-on assignments to help you gain hands-on experience and skills with a variety of data sets. Build your data science portfolio from the work you create during this program. Top course projects include:

  • Calculate and graph financial data using the Pandas data analysis library for Python
  • Create visualizations and perform statistical tests to gain insights into housing trends using population data
  • Using SQL to explore population, crime, and demographic datasets to identify factors that influence enrollment, safety, health, and environmental ratings in schools

Details of the courses that make up the specialization

Data science tools

Lesson 1

Lesson duration: 18 hours

Rating: 4.5 (29,036 ratings)

What will you learn?

  • Describe the tools of the data scientist, including: libraries, packages, datasets, machine learning models, and big data tools.
  • Cultivate languages ​​commonly used by data scientists such as Python, R, and SQL.
  • Demonstrate knowledge of working with tools such as Jupyter notebooks and RStudio and using their various features.
  • Create and manage data science source code using Git and GitHub repositories.

Abilities you will develop

  • Data Science
  • Python programming
  • GitHub
  • RStudio
  • Jupyter notebooks