Best AI Classes Online

Twitter bots are useful tools for everything from business to research, and they're also fun toys to play with on the social media platform. This tutorial gives students a step-by-step guide for building their own Twitter bot. The seminar starts with an introduction to Python and how it can be used to build bots. By the end of the class, students will have followed along with the instructor and on-screen instructions to create a working Twitter bot.

As this tutorial demonstrates, Microsoft Excel and similar spreadsheet programs aren't the only way to process data. This seminar introduces Python as an open-source tool for working with data. By showing students how to use Python and Pandas, this session illustrates simple ways to bypass some of the limitations of Excel. Students learn how Python can help them work with large datasets and operations efficiently and more effectively than Excel can.

For students who are interested in the work that data scientists do in their careers, this seminar introduces the field and how to join it. The tutorial begins with an overview of the role that Python plays in data science as an open-source programming language. Students learn about the skills and tools that data scientists use their their day-to-day work as well as how to work with data without advanced math skills. At the end of the session, students also get to see data science in action with a demonstration.

In this tutorial, students learn the most important and practical steps they can take to improve the digital presence of their brand. Students learn about the three different kinds of digital marketing and how to use their website to drive business. They discover crucial social media channels as well as the different roles that SEO and Google Ads play in a successful digital marketing campaign. At the end of the seminar, students learn about opportunities dive deeper into digital marketing tchniques for success.

Designed for entrepreneurs, this tutorial surveys the role that a good website plays in driving sales. Students begin by gaining familiarity with what makes a website useful and compelling from the perspective of a customer. Then, students learn how to optimize their website, including understanding the factors that affect website performance. Students leave the seminar with the information needed to create an action plan to improve their conversion rates.

This course guides students through a practice-based curriculum designed to help them enter careers in data analytics. Students start by learning about structured thinking for data analysis and how businesses solve economic, financial, and statistical problems with data analytic solutions. By gaining skills in SQL, Python, and Tableau, students learn to analyze and visualize data and present their findings and conclusions. Students graduate with a porfolio of work, including two capstone data analytics projects.

Through this sequence of two courses, students prepare for careers in data analytics. Students begin by learning about the theory and applications of data analytics, gaining skills in using pivot tables and statistics in Excel to understand, analyze, and visualize data. Then, students dig into practicing data analysis, developing proficiency with Python, SQL, and Tableau before learning about big data, machine learning, and ethical issues in data analysis. Students complete the course with a portfolio of professional data analytics work.

These eight sequential courses prepare beginner data analysts for careers in the field. Students start by learning about data and the kinds of problems data analysis can solve, then develop skills in SQL in order to extract, store, and clean data for analysis. Students also gain experience with data visualization and programming with R for data analysis. In the final course, students develop a data analysis case study for their capstone project and benefit from lessons in job hunting before they graduate with a certificate from Google.

This program, divided into two courses, helps students jumpstart their careers in full stack web development. Students start by focusing on the front end, working with HTML and CSS to produce a website and developing skills in Agile project management. In the second course, students work with JavaScript in the full stack, gaining skills with the MERN stack (MongoDB, Express, React, and Node.js) as well as SQL, APIs, and data security and visualization. Students complete the course with several portfolio projects, including web and mobile applications.

Students in this course track learn the essential skills of a data scientist. As they move through the course track, students learn about data management and statistical analysis, as well as how businesses make use of data insights. Students build visualizations in Power BI, Seaborn, and Tableau and develop skills for data research, deep learning, and machine learning. A final exam testing their new knowledge helps students earn a digital badge.

After studying this course track, students will have a full set of skills for web development. After introducing HTML, CSS, and JavaScript, the course teaches students React and Node as well as APIs and AJAX. Students develop familiarity with responsive design and learn to use Bootstrap, Flexbox, Git, and SEO. Students complete three major projects and a final portfolio project before graduating with four certificates.

This course, designed for beginners, allows students to earn a certificate in full stack web development asynchronously with the support of live mentorship and feedback. The curriculum covers HTML, CSS, and JavaScript, diving deep into the DOM, object-oriented programming, databases, AJAX, Node, Express, React, and REST APIs. Throughout the course, students complete quizzes and practical activities before tackling a full stack JavaScript application with React as their capstone portfolio project. Students meet weekly with mentors in office hours and also have the option of participating in the Treehouse learning community.