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Understanding and Applying Linear Regression
Linear regression is a powerful tool, applicable in many common situations in business and data analysis. This course will cover both the theory and implementation of linear regression in Excel, Python, and R.
Understanding and Applying Factor Analysis and PCA
Factor Analysis and PCA are powerful tools, applicable in many common situations in business and data analysis. This course covers both the theory and implementation of factor analysis and PCA, in Excel (using VBA), Python, and R.
Understanding and Applying Logistic Regression
This course will teach you both the theory and implementation of logistic regression, in Excel (using solver), Python, and R.
Understanding and Applying Numerical Optimization Techniques
Optimization is all about smart trade-offs given difficult choices. This course focuses on three specific aspects of numerical optimization: correctly setting up optimization problems, linear programming, and integer programming.
Handling Fast Data with Apache Spark SQL and Streaming
Apache Spark is a leader in enabling quick and efficient data processing. This course will teach you how to use Spark's SQL, Streaming, and even the newer Structured Streaming APIs to create applications able to handle data as it arrives.
Developing Spark Applications with Python & Cloudera
Apache Spark is one of the fastest and most efficient general engines for large-scale data processing. In this course, you will learn how to develop Spark applications for your Big Data using Python and a stable Hadoop distribution, Cloudera CDH.
Building Your First Amazon Redshift Data Warehouse
Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high performance column-oriented SQL engine. Join data pro Russ Thomas on a demo-heavy dive into Redshift and build your first data warehouse on AWS.
Developing Spark Applications Using Scala & Cloudera
Apache Spark is one of the fastest and most efficient general engines for large-scale data processing. In this course, you'll learn how to develop Spark applications for your Big Data using Scala and a stable Hadoop distribution, Cloudera CDH.
Building Machine Learning Models in Python with scikit-learn
This course course will help engineers and data scientists learn how to build machine learning models using scikit-learn, one of the most popular ML libraries in Python. No prior experience with ML needed, only basic Python programming knowledge.
Getting Started with Spark 2
The 2.x releases of Spark represent significantly different and upgraded features. This course will focus on all of these changes, in both theory and practice.
Building Machine Learning Models in Spark 2
Training ML models is a compute-intensive operation and is best done in a distributed environment. This course will teach you how Spark can efficiently perform data explorations, cleaning, aggregations, and train ML models all on one platform.
Structured Streaming in Apache Spark 2
Many sources of data in the real world are available in the form of streams; from self-driving car sensors to weather monitors. Apache Spark 2 is a powerful, distributed, analytics engine which offers great support for streaming applications
Statistics Foundations: Understanding Probability and Distributions
We live in a world of big data, and someone needs to make sense of all this data. In this course, you will learn to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data out there is telling you.
Data Storytelling: Moving Beyond Static Data Visualizations
Learn how to present data with narrative and visual motion in the art of Data Storytelling. You will learn how to create, display, and distribute data in a meaningful and impactful way.
Building Deep Learning Models Using PyTorch
PyTorch is an open source deep learning framework originally developed by the AI teams at Facebook. PyTorch offers high-level APIs which make it easy to build neural networks and great support for distributed training and prediction.
Deploying and Publishing Power BI Reports
Power BI is an intuitive business analytics tool. This course will cover all the different ways to deploy and publish Power BI reports, starting at five users and scaling up to 5000.
Power BI Playbook: Securing Shared Data with Power BI
Power BI is one of the most exciting tools used to visualize and analyze data. This course will teach you the basics of sharing data with Power BI, including the Power BI security model, sharing reports, apps and app workspaces, and more.
Using Integrated Analytics in Tableau Desktop
Tableau Desktop is a popular data visualization and analysis tool. In this course, you'll learn how to create and use reference lines, trend lines, forecast time series, and use cluster analysis. You'll also learn the statistics behind the features.
Data Science: Executive Briefing
In this Executive Briefing, you will learn what data science is, why it is important for you and your business, and how to get started becoming a data-driven organization.
Building Effective Data Communications with Tableau Desktop
Effective data communication is more important now than ever! Understanding the presentation side of data is a growing skill gap across all industries. By becoming an efficient data translator, you position yourself as a critical part of any team.
Effective Reporting with Power BI
This course will help you gain a fundamental understanding of how to build effective and engaging reports with Power BI Desktop.
Building Your First SSRS Report
In this course you'll quickly learn to create professional-looking reports for SQL Server Reporting Services using Microsoft Visual Studio.
Alteryx Designer: Getting Started
Looking to significantly shorten your time from raw data to actionable knowledge and insight? Learn to use Alteryx, a user-friendly, code-free solution that allows you to spend your time analyzing your data instead of gathering your data.
Working with Graph Algorithms in Python
This course focuses on how to represent a graph using three common classes of graph algorithms - the topological sort to sort vertices by precedence relationships, the shortest path algorithm, and finally the spanning tree algorithms.
Key Features of Pluralsight
- Skill Assessments Pluralsight's Skill IQ and Role IQ features allow learners to assess their current skills and determine which areas require improvement. These personalized assessments provide insights into where users stand compared to industry standards, guiding them toward the most suitable courses.
- Learning Paths The platform offers well-structured learning paths that guide learners through a series of courses designed to develop specific skills. Whether you're aiming for certification or mastering a new programming language, Pluralsight’s learning paths ensure that you systematically achieve your learning objectives.
- On-Demand Courses Pluralsight’s courses are available on demand, which gives learners the flexibility to study at their own pace. This allows working professionals to balance their learning with their job responsibilities.
- Enterprise Solutions In addition to individual learning, Pluralsight provides enterprise solutions that help organizations manage and track the learning progress of their teams. Companies can benefit from tailored learning paths, assessments, and analytics to ensure that their workforce stays competitive.
- Offline Viewing Learners can download courses and view them offline using Pluralsight's mobile app, making it convenient for users to continue learning even without an internet connection.
- Certification Preparation Pluralsight offers courses that prepare learners for a wide range of professional certifications in areas such as AWS, Microsoft, Google Cloud, and CompTIA. These courses help professionals gain the credentials they need to advance in their careers.
- Interactive Learning Pluralsight's hands-on learning experience allows users to practice what they learn in real-world scenarios. The platform offers interactive labs and projects where learners can apply their skills in simulated environments.
Pluralsight Pricing and Plans
Pluralsight offers a variety of pricing plans to accommodate both individual learners and enterprises.- Individual Plans: Starting with a free trial, individuals can subscribe to the monthly or annual plan. The annual subscription provides significant savings and access to the entire course library.
- Team Plans: For businesses, Pluralsight offers team and enterprise-level solutions with advanced analytics, reporting features, and role-based learning pathways. These plans ensure that teams can collaborate and learn efficiently while tracking their progress through in-depth analytics.
Why Choose Pluralsight?
- Expert-Led Content All courses on Pluralsight are created by industry experts who bring real-world experience and knowledge to the table. This ensures that learners get the most up-to-date and relevant information.
- Constantly Updated Courses Pluralsight continuously updates its course content to reflect the latest industry trends, ensuring that learners always have access to the most current skills and knowledge.
- Diverse Range of Topics From cybersecurity and IT operations to creative topics like video production and design, Pluralsight offers courses across a diverse range of subjects, making it a one-stop solution for tech professionals and creatives alike.
- Personalized Learning Pluralsight provides a personalized learning experience with its skill assessments and role-specific learning paths. This feature ensures that learners only focus on areas they need to improve, saving time and effort.
Popular Courses Offered by Pluralsight
Some of the most popular courses on Pluralsight include:- JavaScript: Getting Started Ideal for beginners, this course provides a comprehensive introduction to one of the most widely used programming languages in web development.
- AWS Certified Solutions Architect - Associate This course prepares learners for the AWS certification exam and equips them with the skills needed to design robust cloud architectures.
- Python Fundamentals Perfect for learners new to Python, this course covers the basics of programming in one of the most versatile programming languages.
- CISSP Certification Prep Aimed at cybersecurity professionals, this course prepares learners for the CISSP certification, covering critical areas of information security.