IBM Data Science
Kickstart your Career in Data Science & ML. Master data science, learn Python & SQL, analyze & visualize data, build machine learning models.
WHAT YOU WILL LEARN
- Create and access a database instance on the cloud
- Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
- Filter, sort, group results, use built-in functions, access multiple tables
- Access databases from Jupyter using Python and work with real-world datasets
LEARNER CAREER OUTCOMES
- 46% Started a new career after completing this specialization.
- 19% Got a pay increase or promotion.
Fundamentals of Visualization with Tableau
Visualize Business Data with Tableau. Create powerful business intelligence reports
WHAT YOU WILL LEARN
- Install Tableau Public Software and create a visualization
- Examine and navigate the Tableau Public workspace
- Practice and connect to different data sources
- Examine ways to define your project
Learner Career Outcomes
- 42% started a new career after completing these courses
- 35% got a tangible career benefit from this course
- 12% got a pay increase or promotion
Mastering data visualization in D3. js
Design and build beautiful data visualizations with d3.js. An intensive introduction to the D3 library (V6).
WHAT YOU WILL LEARN
- Understand the fundamental building blocks of D3
- Gain a wide breadth of knowledge, learning how to create 14 different visualizations
- Critique existing visualizations and invent better designs for displaying data
- Interpret open source code from the D3 community for use in your own projects
- Master advanced tools in D3, building choropleth maps, brushes, tooltips, and layouts
- Develop substantial web apps, with multiple visualizations on the page at once
- Articulate original abstract ideas with compelling sketches
Microsoft Excel – Data Visualization, Excel Charts & Graphs
Master 20+ Excel charts & graphs and build custom visuals with a best-selling Excel instructor (Excel 2016 – Excel 2019)
WHAT YOU WILL LEARN
- Understand WHEN, WHY, and HOW to use 20+ chart types in Excel 2016+
- Learn advanced Excel tools like automated dashboards, scrolling charts, dynamic formats, and more
- Master unique tips, tools, and case studies that you won’t find in ANY other Excel course, guaranteed
- Explore fun, interactive, and highly effective lessons from a best-selling Excel instructor
- Get LIFETIME access to project files, quizzes, homework exercises, and 1-on-1 expert support
- Build 10+ Excel projects designed to take your data visualization skills to the next level
Data Visualization on the Browser with Python and Bokeh
A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.
WHAT YOU WILL LEARN
- Build advanced data visualization web apps using the Python Bokeh library.
- Create interactive modern web plots that represent your data impressively.
- Create widgets that let users interact with your plots.
- Learn all the available Bokeh styling features.
- Integrate and visualize data from Pandas DataFrames.
- Create dynamic graphs that plot real-time data.
- Plot time-series data.
- Integrate your data visualization apps with Flask apps.
- Deploy the apps on live servers.
- Learn how to troubleshoot Bokeh apps.
Data Science and Machine Learning Bootcamp with R
Learn how to use the R programming language for data science and machine learning and data visualization!
WHAT YOU WILL LEARN
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Program in R
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Use R for Data Analysis
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Create Data Visualizations
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Use R to handle CSV, Excel, SQL files or web scraping
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Use R to manipulate data easily
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Use R for Machine Learning Algorithms
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Use R for Data Science
Tableau for Beginners: Get CA Certified, Grow Your Career
Jump into data visualization with hands-on exercises and pass the Certified Associate exam.
WHAT YOU WILL LEARN
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Sort, filter, slice, pivot, and graph using a Tableau Public, a free version of the market-leading visualization tool.
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Combine multiple data sources using joins, blends, and unions.
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Create bar charts, pie charts, and line graphs.
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Create calculated fields with conditional logic.
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Map your data to quickly detect the geographic variation.
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Create a dynamic dashboard combining multiple worksheets.
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Create trendlines and understand the relevant statistical metrics such as p-value and R-squared.
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Create forecasts with prediction intervals, accounting for seasonal variability.
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Take two full-length practice exams for the Tableau Desktop Certified Associate Exam.
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Use publicly available data to create visualizations on topics that interest you – anything from the economy to the Olympics.
Power BI Masterclass – beginners to advanced
Microsoft Power BI – How to master self-service business intelligence in no time. Power BI Training online
WHAT YOU WILL LEARN
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Taking the Power BI Masterclass series on Udemy will prepare you to start your data analytics career
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You can quickly create stunning reports in Power BI
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You can transform messy data into the right format
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You can generate valuable insights for yourself and your company
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You can improve strategic decision making and create competitive advantages
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You can write powerful advanced Dax calculations in Microsoft Power BI
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You can design Power BI Reports
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You can create Power BI Dashboards (Reports) in no time
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Please note! Mac Users have currently only the option to use Power BI via the Power BI Service in their browser (some limitations vs Power BI Desktop) or with Turbo which comes with additional cost
Data Science A-Z™: Real-Life Data Science Exercises Included
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization, and more!
WHAT YOU WILL LEARN
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Successfully perform all steps in a complex Data Science project
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Create Basic Tableau Visualisations
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Perform Data Mining in Tableau
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Understand how to apply the Chi-Squared statistical test
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Apply the Ordinary Least Squares method to Create Linear Regressions
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Assess R-Squared for all types of models
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Assess the Adjusted R-Squared for all types of models
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Create a Simple Linear Regression (SLR)
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Create a Multiple Linear Regression (MLR)
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Create Dummy Variables
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Interpret coefficients of an MLR
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Read statistical software output for created models
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Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
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Create a Logistic Regression
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Intuitively understand a Logistic Regression
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Operate with False Positives and False Negatives and know the difference
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Read a Confusion Matrix
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Create a Robust Geodemographic Segmentation Model
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Transform independent variables for modeling purposes
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Derive new independent variables for modeling purposes
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Check for multicollinearity using VIF and the correlation matrix
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Understand the intuition of multicollinearity
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Apply the Cumulative Accuracy Profile (CAP) to assess models
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Build the CAP curve in Excel
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Use Training and Test data to build robust models
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Derive insights from the CAP curve
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Understand the Odds Ratio
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Derive business insights from the coefficients of a logistic regression
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Understand what model deterioration actually looks like
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Apply three levels of model maintenance to prevent model deterioration
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Install and navigate SQL Server
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Install and navigate Microsoft Visual Studio Shell
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Clean data and look for anomalies
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Use SQL Server Integration Services (SSIS) to upload data into a database
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Create Conditional Splits in SSIS
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Deal with Text Qualifier errors in RAW data
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Create Scripts in SQL
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Apply SQL to Data Science projects
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Create stored procedures in SQL
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Present Data Science projects to stakeholders