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Design Thinking and Predictive Analytics for Data Products

Ilkay Altintas and Julian McAuley

4.5

Based on 65 ratings

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Ilkay Altintas and Julian McAuley

This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.

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What's inside

Syllabus

Week 1: Supervised Learning & Regression

Welcome to the second course in this specialization! This week, we will go over the syllabus, download all course materials, and get your system up and running for the course. We will also introduce the basics of supervised learning and regression.

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Teaches supervised learning and regression, which are foundational skills for data analysts

Develops skills in data manipulation and analysis, which are useful in a variety of fields

Introduces methods for building predictive models, such as K-nearest neighbors and logistic regression

Covers advanced concepts such as gradient descent, which are important for understanding machine learning algorithms

Includes a final project where learners apply the skills they have learned to a real-world dataset

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Design Thinking and Predictive Analytics for Data Products with these activities:

Review Linear Algebra

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Sharpen your understanding of linear algebra, a foundational topic for machine learning and data science, ensuring a stronger foundation for success in this course.

Browse courses on Linear Algebra

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Review your notes or textbooks on linear algebra.
Solve practice problems to reinforce your understanding.
Complete an online refresher course or tutorial.

Review Data Science from Scratch: First Principles with Python

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Review the fundamentals of Python, data science, and supervised learning to strengthen your understanding of the course material.

View Data Science from Scratch: First Principles... on Amazon

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Read the first three chapters of the book.
Complete the associated exercises in the book.
Summarize the key concepts covered in each chapter.

Practice Data Cleaning and Manipulation

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Reinforce your data cleaning and manipulation skills by completing practice exercises to improve your proficiency in these techniques.

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Find a publicly available dataset and import it into a Python notebook.
Clean the data by removing duplicates and handling missing values.
Manipulate the data by creating new features and performing transformations.

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Participate in a Study Group

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Enhance your understanding by collaborating with peers, discussing course material, and working on problems together.

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Find a study group or form one with classmates.
Meet regularly to discuss course material and assignments.
Collaborate on practice problems and projects.

Follow a Tutorial on Feature Engineering

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Enhance your understanding of feature engineering by following a tutorial that provides step-by-step instructions and examples.

Browse courses on Feature Engineering

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Find a comprehensive tutorial on feature engineering.
Work through the tutorial, implementing the techniques in a Python notebook.
Experiment with different feature engineering techniques and observe their impact on model performance.

Build a Predictive Model for a Real-World Problem

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Apply your knowledge of predictive modeling by building a model to solve a real-world problem, solidifying your understanding of the process and its applications.

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Identify a real-world problem that can be addressed using predictive modeling.
Gather and prepare a relevant dataset.
Build and train a predictive model using Python.
Evaluate the performance of the model and make necessary adjustments.
Write a report summarizing your findings and insights.

Contribute to an Open-Source Machine Learning Project

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Gain practical experience and deepen your understanding by contributing to an open-source machine learning project, immersing yourself in real-world applications and development processes.

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Implement your changes and submit a pull request.
Identify an open-source machine learning project that aligns with your interests.
Familiarize yourself with the project's codebase and documentation.
Identify an issue or feature to work on.
Collaborate with other contributors to refine your work.

Career center

Learners who complete Design Thinking and Predictive Analytics for Data Products will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and maintaining the machine learning models that power many of today's most popular products and services. They work with data scientists to identify the right problems to solve with machine learning, and then design and implement the models that will solve those problems. This course will provide you with the foundational knowledge and skills you need to start a career as a Machine Learning Engineer. You will learn about the different types of machine learning models, how to train and evaluate them, and how to deploy them into production.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. They work with businesses to identify the right questions to ask of their data, and then design and implement the data science projects that will answer those questions. This course will provide you with the foundational knowledge and skills you need to start a career as a Data Scientist. You will learn about the different types of data science projects, how to design and implement them, and how to communicate your findings to stakeholders.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use their knowledge of statistics and programming to analyze data and identify trends. They work with businesses to help them make better decisions by providing them with insights into their data. This course will provide you with the foundational knowledge and skills you need to start a career as a Data Analyst. You will learn about the different types of data analysis projects, how to design and implement them, and how to communicate your findings to stakeholders.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics, statistics, and programming to develop and implement financial models. They work with investment banks and hedge funds to help them make better investment decisions. This course will provide you with the foundational knowledge and skills you need to start a career as a Quantitative Analyst. You will learn about the different types of financial models, how to develop and implement them, and how to evaluate their performance.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use their knowledge of business and technology to help businesses improve their operations. They work with businesses to identify areas for improvement, and then design and implement the solutions that will help them achieve their goals. This course will provide you with the foundational knowledge and skills you need to start a career as a Business Analyst. You will learn about the different types of business analysis projects, how to design and implement them, and how to communicate your findings to stakeholders.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with businesses to identify the right software solutions for their needs, and then design and implement those solutions. This course will provide you with the foundational knowledge and skills you need to start a career as a Software Engineer. You will learn about the different types of software engineering projects, how to design and implement them, and how to test and debug software.

See salaries and explore the career path for Software Engineer

BI Developer

Business intelligence (BI) Developers are responsible for developing and maintaining the business intelligence applications that help businesses make better decisions. They work with businesses to identify the right BI solutions for their needs, and then design and implement those solutions. This course will provide you with the foundational knowledge and skills you need to start a career as a BI Developer. You will learn about the different types of BI projects, how to design and implement BI applications, and how to manage BI data.

See salaries and explore the career path for BI Developer

Data Engineer

Data Engineers are responsible for designing, building, and maintaining the data infrastructure that powers many of today's most popular products and services. They work with businesses to identify the right data infrastructure for their needs, and then design and implement that infrastructure. This course will provide you with the foundational knowledge and skills you need to start a career as a Data Engineer. You will learn about the different types of data engineering projects, how to design and implement them, and how to manage data infrastructure.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators are responsible for the design, implementation, and maintenance of databases. They work with businesses to identify the right database solutions for their needs, and then design and implement those solutions. This course will provide you with the foundational knowledge and skills you need to start a career as a Database Administrator. You will learn about the different types of database administration projects, how to design and implement databases, and how to manage databases.

See salaries and explore the career path for Database Administrator

Product Manager

Product Managers are responsible for the development and launch of new products. They work with businesses to identify the right products to develop, and then lead the team that develops and launches those products. This course will provide you with the foundational knowledge and skills you need to start a career as a Product Manager. You will learn about the different types of product management projects, how to manage a product team, and how to launch a new product.

See salaries and explore the career path for Product Manager

Cloud Architect

Cloud Architects are responsible for designing and implementing cloud computing solutions. They work with businesses to identify the right cloud solutions for their needs, and then design and implement those solutions. This course will provide you with the foundational knowledge and skills you need to start a career as a Cloud Architect. You will learn about the different types of cloud computing projects, how to design and implement cloud solutions, and how to manage cloud infrastructure.

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Data Privacy Analyst

Data privacy analysts use their knowledge of data privacy laws and regulations to help businesses protect the privacy of their customers' data. They work with businesses to identify and mitigate data privacy risks.

See salaries and explore the career path for Data Privacy Analyst

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with businesses to identify the right projects to undertake, and then lead the team that executes those projects. This course will provide you with the foundational knowledge and skills you need to start a career as a Project Manager. You will learn about the different types of project management projects, how to plan and execute projects, and how to close projects.

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IT Manager

IT Managers are responsible for the planning, implementation, and management of IT systems. They work with businesses to identify the right IT solutions for their needs, and then design and implement those solutions. This course will provide you with the foundational knowledge and skills you need to start a career as an IT Manager. You will learn about the different types of IT management projects, how to plan and implement IT systems, and how to manage IT staff.

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Machine Learning Expert

Machine learning experts use their knowledge of machine learning to develop and implement machine learning solutions for a variety of businesses. They work with businesses to identify the right machine learning solutions for their needs, and then design and implement those solutions. This course may provide you with the foundational knowledge and skills you need to become a Machine Learning Expert.

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Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Design Thinking and Predictive Analytics for Data Products.

An Introduction to Statistical Learning

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Provides a comprehensive introduction to statistical learning, covering supervised and unsupervised learning methods. It valuable resource for understanding the fundamental concepts of predictive modeling.

Design Thinking and Predictive Analytics for Data Products

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What's inside

Syllabus

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Activities

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