Online Course – Certified Professional Internship in Applied Data Science from Google, IBM

Gain practical skills for a career in data science. Learn Python, analyze and visualize data. Apply your skills in data science and machine learning.

Suggested by: Coursera (What is Coursera?)

Start your Coursera.com free trial today
קורס אונליין - התמחות מקצועית מוסמכת במדעי הנתונים היישומיים של Google

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

  • Data analysis and data-driven business decision making
  • Python programming language
  • Using tools like Numpy and Pandas
  • Predictive modeling practice and model selection
  • A fascinating story with data
  • Practical experience in solving data problems
  • Data handling and graph plots
  • Creating regression models to predict apartment prices
  • Create visualizations and dynamic dashboards
  • Comparing machine learning models

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Data Analyst
  • Python developer
  • Data Engineer
  • Business Analyst
  • Machine Learning Expert
  • Data visualization developer
  • Data Science Project Manager
  • Data Consultant
  • Data scientist

Internship – a five-course course series

The internship is designed for data science enthusiasts who want to gain practical skills to solve real-world data problems. If you are interested in developing a career in data science, this program is for you!

The specialization will give you the tools you need to analyze data and make data-driven business decisions using computer science and statistical analysis. You will learn the Python programming language—no prior knowledge required—and discover methods for analyzing and presenting data.

You’ll use tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data.

Practical experience

Through guided lectures, labs, and projects in the IBM Cloud, you’ll gain hands-on experience solving data problems. Take this internship to strengthen your skills in Python and data science.

In addition, you will receive a Coursera internship completion certificate, as well as a digital badge from IBM. This internship can also be combined with a professional certificate in data science from IBM.

Applied Learning Project

Build your data science portfolio while gaining hands-on experience creating products in interactive labs and projects throughout the program.

Projects include:

  • Search and graph financial data using Python’s Pandas library.
  • Data manipulation, graph plots, and creation of regression models to predict apartment prices using Python libraries, including NumPy and Sklearn.
  • Create visualizations and dynamic dashboards in Python with treemaps and line graphs using libraries like Matplotlib, Seaborn, and Plotly Dash.

In the final course, apply what you’ve learned to a comprehensive project. You’ll train and compare machine learning models to predict whether SpaceX’s launch vehicle can reuse the first stage of its rocket.

Details of the courses that make up the specialization

Python for Data Science, Artificial Intelligence, and Development

Course 1 • 25 hours • 4.6 (37,177 ratings)

What you’ll learn:

  • Learn Python – the most popular programming language for data science and software development.
  • Achieve programming logic in Python: variables, data structures, conditionals, loops, functions, objects, and classes.
  • Demonstrate proficiency in using Python libraries such as Pandas and NumPy, and developing code using Jupyter notebooks.
  • Access and collect data from the web using APIs and Python libraries like Beautiful Soup.

Skills you will acquire:

  • Model selection
  • Data Analytics
  • Python programming
  • Data visualization
  • Predictive models

Course 2 • 8 hours • 4.5 (4,214 ratings)

What you’ll learn:

  • Play the role of a data scientist/data analyst working on a real project.
  • Implement Python fundamentals, Python data structures, and working with data in Python.
  • Build a dashboard using Python and libraries like Pandas, Beautiful Soup, and Plotly.

Skills you will acquire:

  • Data Science
  • Data Analytics
  • Python programming
  • Nampi
  • Pandas

Course 3 • 15 hours • 4.7 (18,235 ratings)

What you’ll learn:

  • Develop Python code to clean and prepare data for analysis.
  • Perform exploratory data analysis and apply analysis techniques to real-world data sets.
  • Build and edit regression models using the scikit-learn machine learning library.

Skills you will acquire:

  • Python programming
  • Dashboards and graphs
  • Cited data
  • Data visualization
  • matplotlib

Course 4 • 20 hours • 4.5 (11,723 ratings)

What you’ll learn:

  • Implement data visualization and graphing techniques using Python libraries.
  • Create different types of graphs and charts.
  • Create interactive dashboards using the Dash framework and Plotly library.

Skills you will acquire:

  • GitHub
  • Jupyter Notebook
  • K-Means Analysis
  • methodology

Course 5 • 13 hours • 4.7 (7,126 ratings)

What you’ll learn:

  • Demonstrate proficiency in data science and machine learning techniques.
  • Write Python code to create machine learning models.
  • Evaluate the results of machine learning models for predictive analysis.

Skills you will acquire:

  • Data Science
  • Data Analytics
  • Python programming
  • Pandas
  • Jupyter notebooks

Related products