Opinion

Table of Contents

1. Introduction
2. Categorical Features are More Powerful
3. Integrated Plotting Features
4. Efficient Processing
5. Summary
6. References

Introduction

Out with the old, and in with the new. More specifically, CatBoost [2] may be replacing XGBoost for many data scientists and ML engineers moving forward. Not only is this a great algorithm for data science competitions…

Opinion

Table of Contents

1. Introduction
2. Stakeholder Collaboration
3. Key Performance Indicators
4. Culture Fit
5. Summary
6. References

Introduction

There are many guides to data science interviews out there on the web, but few stress the importance of interactions with colleagues and the effects of data science on the business, rather than only focusing on machine learning algorithm concepts…

Opinion

Table of Contents

1. Introduction
2. Cloudera Certified Associate (CCA) Data Analyst
3. Certified Analytics Professional (CAP)
4. Amazon Web Services Big Data Specialty Certification
5. SAS Certified Data Scientist Using SAS 9
6. Summary
7. References

Introduction

Indeed has made a catalog of the best certifications for data analysts to boost their careers here [2]. In this article, I will…

Opinion

Table of Contents

1. Introduction
2. Google Certified Professional Data Engineer
3. Google Data Machine Learning Engineer
4. IBM Data Science Professional Certificate
5. Microsoft Certified Azure Data Scientist Associate
6. Summary
7. References

Introduction

Rather than take twenty to thirty data science certifications, I will instead be discussing what I think are the four most important certifications from a reputable…

Opinion

Table of Contents

1. Introduction
2. Data Scientist
3. Data Analyst
4. Similarities and Differences
5. Summary
6. References

Introduction

Data scientists and data analysts share a lot of the same job duties, while also having some pretty big differences in their day-to-day work. Of course, a company could call someone a data scientist and they mainly perform data analyst…

Table of Contents

1. Introduction
2. Data Analyst
3. Business Analyst
4. Summary
5. References

Introduction

Note:

This article is the fifth, a part of a continuing series on reported salaries between popular data/tech roles. I will link the other four at the end of this article.

Like I have said for the previous articles in this series, this…

Table of Contents

1. Introduction
2. Cloud Computing
3. Machine Learning
4. Query Languages
5. Python Coding
6. Data Wrangling
7. Summary
8. References

Introduction

This article is intended for those who are looking to become a data scientist or are generally interested in what the most marketable skills are to have as a data scientist. This information was gathered by Indeed…

Table of Contents

1. Introduction
2. SQL
3. Spreadsheets
4. Critical Thinking
5. Statistical Programming Languages
6. Data Visualization
7. Summary
8. References

Introduction

Data analysts can expect to be able to perform several different functions, ranging from quick tasks in an hour, to tasks spanned out over a month. With that being said, there are also skills that vary in technicality…