Text Mining with Bag-of-Words in R
Learn the bag of words technique for text mining with R.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn the bag of words technique for text mining with R.
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
In this course youll learn how to apply machine learning in the HR domain.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Learn the fundamentals of valuing stocks.
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Learn to analyze, plot, and model multivariate data.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.