Introduction to Data Science with AI - eLearning Bundle Course

Learn at Your Own Pace

This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.

How It Works

• A Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.
• Lecture utilizing video and recorded screenshots
• 6-month subscription length
• Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

Data Science: Mathematical Methods

Course Duration - 50 min

Advanced business computing applications such as Artificial Intelligence (AI) and Machine Learning (ML) require advanced mathematics and statistics. While relatively few financial professionals need to be experts in these disciplines, it is important for all those who use financial technology tools to understand the mathematical and statistical concepts and methods that underlie them. Doing so can help financial professionals use technology more effectively, as well as help them to identify appropriate applications for different tools and to be aware of those tools’ limitations.

This course provides an overview of the core mathematical and statistical methods that are important to contemporary data science.

Introduction to Analytics and Artificial Intelligence

Course Duration - 3 hrs 2 min

The richest data store is only as good as your ability to search, sort, analyze and present the data within it. This introductory-level course gives you a broad overview of the theory and practice of data analytics and the many ways in which artificial intelligence (AI) contributes to it. Get started with a brief history of data analytics before proceeding into discussions of data warehouses, data mining, business intelligence, machine learning and other emerging AI techniques to make sense of big data.

Upon completion of this course, you will know how data is captured, cleansed, analyzed and presented on business intelligence dashboards that captivate and persuade an audience. You will gain a strong foundation in data science know-how, whether you are investigating analytics as a potential career move or wish to better understand the terminology you encounter in your professional circles.

Intro to Data Literacy

Course Duration - 39 min

Are you a data skeptic? Are you overwhelmed by data? Do you find it difficult to make business decisions? This course is designed to turn data skeptics into data enthusiasts! Our certified analytics professional will prepare you to understand and engage in your organization’s data strategy, create a common framework for problem-solving with data, and employ a common language around basic tools.

This course will prepare you to understand the analytics landscape and use a structured approach to problem solving.

Topics covered include:

• Describing the difference between Business Intelligence, Analytics and Testing
• Distinguishing between four different analytics methodologies
• Explaining the difference between data science and decision science
• Applying the BADIR approach to analytics
• Identifying the benefits and application of each step in the process
• Communicating results in an effective manner
• Identifying the different roles available in data analytics

Over 30 minutes of high-quality HD content in the “Uniquely Engaging”TM Bigger Brains Teacher-Learner style!

Data Science Prerequisites: NumPy, Matplotlib, and Pandas in Python

Course Duration - 4 hrs 21 min

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Exploratory Data Analysis with Pandas and Python 3.x

Course Duration - 5 hrs 4 min

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you will learn how to acquire, clean, analyze, and present data efficiently.

This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You will be exposed to different kinds of data structure and data-related problems. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

The code bundle and related files for this course are available here.

Learning Path: Statistics and Data Mining for Data Science

Course Duration - 5 hrs 51 min

Data science is an ever-evolving field, with an exponentially growing popularity. It includes techniques and theories based on the fields of statistics, computer science, and most importantly machine learning, databases, and visualization. If you wish to enter the world of statistics and data mining, then look no further because this practical video course will walk you through the basics as well as the advanced concepts in a step-by-step manner.

Packt’s Video Learning Path is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path include learning when to use different statistical techniques, how to set up different analyses, and how to interpret the results and applying statistical and data mining techniques to analyze and interpret results using CHAID, linear regression, and neural networks.

This Learning Path begins with explaining the steps to analyse data and identify which summary statistics are relevant to the type of data you are summarizing. You will then learn several procedures, such as how to run and interpret frequencies and how to create various graphs. You will also be introduced to the idea of inferential statistics, probability, and hypothesis testing.

Next, you will learn how to perform and interpret the results of basic statistical analyses such as chi-square, independent and paired sample t-tests, one-way ANOVA, post-hoc tests, and bivariate correlations and graphical displays such as clustered bar charts, error bar charts, and scatter plots. You will then learn how to use different statistical techniques, set up different analyses, and interpret the results.

Moving ahead, this Learning Path shows the comparing and contrasting between statistics and data mining and then provides an overview of the various types of projects data scientists usually encounter. Next, you will be introduced to the three methods (statistical, decision tree, and machine learning) with which you can perform predictive modeling. Finally, you will explore segmentation modeling to learn the art of cluster analysis and will work with association modelling to perform market basket analysis.

By the end of this Learning Path, you will gain a firm knowledge on data analysis, data mining, and statistical analysis and be able to implement these powerful techniques on your data with ease.

All the codes and supporting files for this course will be available here.

Essential Career Skills Pack

Productivity and Time Management

Course Duration - 30 min

It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.

Basic Digital Skills

Course Duration - 13 min

With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.

4 Ways to Boost Creativity

Course Duration - 30 min

The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.

The 11 Essential Career Soft Skills

Course Duration - 1 hr 10 min

Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.