Best Data Science Certificates Phoenix, AZ: Find Courses & Onsite Training

Learn More About Phoenix Data Science Certificates

Data science involves studying and analyzing data to make and account for data-driven decisions. Data Scientists use math, statistics, analytics, artificial intelligence (AI), machine learning, and specialized computer programs to identify patterns in data. They use these patterns to generate insights for their company or organization that can be used for a variety of purposes.

The term “data science” was coined in the 1960s to describe the use and interpretation of mass amounts of data. The discipline has evolved as technology has advanced, and the methodology Data Scientists use has evolved along with it. As more data has become available, it’s become easier for companies and organizations to make decisions backed by it. These decisions may be aimed at driving profit or targeting new audiences, among other possible goals.

Data science is one of the most in-demand fields right now. There is plenty of potential for future growth, as companies rely on data science to best their competitors and save money. Because this field requires a sophisticated understanding of the data science lifecycle, most careers in the field are high-paying. Data science professionals may work as Data Scientists, Data Analysts, or Data Engineers.

Why Become Certified in Data Science?

Data science professionals are in high demand. A data science certificate program can help you develop the skills needed to work in this exciting and fast-growing field. Employers look for candidates who are well-rounded and possess a wide skill set. Certificate programs will teach you the skills needed to become career-ready, including how to collect, interpret, and disseminate data.

Earning a certificate in data science is one way to show potential employers and clients who you possess the skills they are looking for in a data science professional. Data science certificate courses give you access to expert instructors who can walk you through the foundations of data science and the programs you will use to organize and interpret data. Most certificate programs provide hands-on training. They may also include subscriptions or free trials to commonly used software. These programs are a great way for beginners to learn data science in a classroom setting.

What You’ll Learn While Becoming Data Science Certified

Data science projects go through several stages. First, data must be collected. This stage is known as data ingestion. It requires data science professionals to import large, assorted data files from their sources into a storage medium. The second stage, data storage and processing, requires management teams to help clean, duplicate, transform, and combine data. After that stage, data science professionals will then analyze the data and communicate insights through reports.

You’ll learn the foundations of data science, including this data science life cycle, when taking a data science certificate course. Most data science courses will provide hands-on training with data science tools, programs, and languages. Certificate courses will also teach you how to use programming languages and statistical techniques, so that you’ll be ready for a career in data science.

Machine Learning

Some data science courses cover machine learning, a process in which an algorithm is designed to “learn” and improve over time by processing large datasets on their own. Data is fed to the machine, which then observes the dataset, identifies patterns, learns from these observations, and makes predictions. Data Scientists will employ machine learning to help gather information faster and determine trends in their analysis. These courses typically cover the fundamentals of data science before diving into machine learning and its uses.

Python

Python is a versatile programming language used by Data Scientists. Python is easy to learn, contains a wide range of useful libraries that are ideal for data visualization, and contains excellent machine learning libraries as well. The program is considered a go-to choice by those looking to break into data science. With Python’s many features, Data Scientists can build machine learning models and apply machine learning algorithms.

Data science certificate courses often teach Python. Learners will gain experience with Python’s built-in mathematical libraries and functions, which makes it easier for them to calculate math problems and analyze data. Individuals with prior experience programming in Python may find some of the content in data analysis certificate courses relatively easy to pick up, due to their prior experience with the language.

SQL

SQL is a popular programming language used in data science. With SQL, data science professionals can access, manage, and analyze large sets of data. Where Python is ideal for a wide range of data science tasks like cleaning, manipulating, and exploring data, SQL helps with managing and monitoring ETL (extract, transform, and load) tasks in databases and data modeling.

You can enroll in a data science course that focuses on using SQL to help with a range of tasks, like identifying subsets of data, creating an analysis table, and using SQL commands to filter, sort, and summarize data. As with Python, Software Engineers, Web Developers, and others with SQL experience may easily adapt their knowledge to using SQL for data science. However, even if you do not have such experience, data science certificate courses that center around SQL will help you pick up on its benefits swiftly.

R

R is a programming language used for statistical computing. Statisticians typically use it to carry out statistical data analysis. It’s a popular programming language, but it is considered difficult to learn when compared to other languages because its syntax and commands are significantly different. However, R is incredibly useful for data science. The language allows users to create customized data visualizations and dashboards.

R uses machine learning tools to produce accurate, data-driven decisions. In an R-based data science certificate program, learners can expect to learn how to use R to generate data visualizations and use R packages to build interactive web applications. Prior experience with R is not required in a beginner-level R-based data science certificate program, but students should be aware that learning the basic functions of R can take approximately four to six weeks.

Predictive Modeling

Predictive modeling is a statistical technique used to predict future behavior relevant to their company or organization by using past and current data. Predictive modeling can be used for things like estimating how likely it is that someone will click a link or buy a product.

Predictive analysis is one of the less commonly used forms of data analytics because it requires knowledge of advanced statistical algorithms and machine learning. Not all companies invest in predictive modeling because of the resources it takes. However, it is used in industries like healthcare, marketing, and government. Enroll in a data science certificate course that focuses on predictive modeling to learn this technique.

Data Science Industries in Phoenix

Many industries in Phoenix use data science. Companies and organizations hire data science professionals for a variety of reasons, including to ensure that they’re maximizing their resources to stay ahead of trends and to help them determine their needs. Data science professionals may be hired to perform descriptive, diagnostic, predictive, or prescriptive analytics. In Phoenix, these roles are open in the aerospace and defense, financial services, and healthcare industries.

Aerospace and Defense

Greater Phoenix is an established military region. Arizona itself has a longstanding history with both aerospace and defense, making it a go-to state for aerospace and defense companies. These companies tend to establish operations in Phoenix because of the city’s infrastructure and talent pipeline.

Data analytics has helped make this industry more efficient. Aerospace and defense companies work with large sets of data that need to be transformed and interpreted. Reliable data analysis allows companies to make quick and accurate decisions. Data science is especially useful in the subdisciplines of this industry, where data is needed by engineers and managers to ensure efficiency, cost-efficacy, and part performance.

Financial Services

Phoenix has a booming financial services industry. The city is home to wealth management, banking, and mutual services that contribute to its recognition as a financial center. Some of the nation’s top financial services companies operate in the Greater Phoenix area, including Wells Fargo and Northern Trust.

Data science is useful to the financial services industry for a variety of reasons. Data is used to help companies figure out the stock market, detect fraud, and improve their services for customers. These companies hire Financial Data Scientists—specialists with in-depth knowledge of the industry—who help them streamline processes, develop new approaches for risk analysis, and track trade algorithms.

Healthcare

Phoenix’s healthcare industry is an important aspect of the region’s economic growth. This industry is booming thanks to Phoenix’s well-developed ecosystem for healthcare innovation, recently revamped healthcare infrastructure, and talented workforce.

The healthcare industry employs Data Scientists and other professionals to perform prescriptive analysis. In other words, they rely on data science professionals to guide decision-making. Data science professionals are instrumental in designing programs in the healthcare industry and tracking relevant measurements. They help healthcare professionals understand their patient populations, including their risk factors, potential disease progression, and most effective treatment plans.

Data Science Careers in Phoenix

Gaining data science skills and experience with commonly used tools can help you begin a career as a data science professional in Phoenix. Companies and organizations are seeking data science professionals to help them become more efficient, more innovative, and more cost-effective.

A Data Scientist is responsible for collecting, organizing, and analyzing large sets of data. After analysis, they report their findings in a way that contributes to their company’s future decision-making. The analysis they perform may help their company forecast, manage risk, and allocate resources. Data Scientists in Phoenix make an average annual salary of $118,000.

Data Engineers are responsible for creating infrastructure for data. This includes designing, maintaining, and optimizing the infrastructure to help Data Scientists analyze the data. Data Engineers need to know how to create data pipelines, combine data sources, and engineer for scale. Data Engineers in Phoenix make an average salary of $115,000 per year.

Should You Pursue a Certificate or Certification

If you’re looking to diversify your skill set and prepare for a career in data science, consider enrolling in a certificate or certification program. These programs can ensure that you understand the fundamentals of data science and prepare you for a career in the field.

If you are new to data science, it’s recommended that you enroll in a beginner-level certificate course. Certificate courses have expert instructors who can provide you with feedback on your work and are committed to teaching you the basics of data science and preparing you to use a variety of data science tools. After the course has ended, students will be awarded a certificate of completion that shows potential employers and clients who they have received training.

Certification programs are ideal for professionals looking to tackle more advanced data science skills. These programs are intended to prepare students to take and pass a standardized exam on data science. After passing the exam–typically taken through a third-party testing site–students will be awarded a certification that can be showcased along with their resume to potential employers. Earning certification shows employers that you have trained to the skill level expected of you by those in your field and have passed a standardized exam to prove it.

Top Data Science Certificate Programs in Phoenix

Enrolling in a data science certificate program can help you learn the core principles of data science along with commonly used data science tools. Skilled instructors teach certificate courses to beginner, intermediate, and advanced-level students both in-person and online. In-person classes are ideal for individuals who learn best in a traditional classroom setting, whereas online classes are best for remote learners with busy schedules.

Noble Desktop:Data Science Certificate

In Noble Desktop’s live online Data Science Certificate course, you’ll learn the skills needed to begin a career in data science or engineering. Fundamental Python skills will be covered in the course, including how to prepare and clean data for analysis. The course consists of five units that will walk you through data science and Python.

With this course, you’ll receive six 1-on-1 mentoring sessions where you can ask a mentor questions about the course and have them review your portfolio. Students enrolled in this course will receive a certificate of completion after it has ended and will be able to retake the course for free for up to one year.

General Assembly: Data Science Bootcamp

General Assembly’s full-time Data Science bootcamp is an immersive online learning experience. The bootcamp will teach hands-on skills needed to analyze complex data. Specifically, the course focuses on using Python in data science as the instructor walks students through data analysis and statistical modeling. The course covers five units and five projects, helping each student compile a professional-grade portfolio.

Aside from the five units of lessons, this bootcamp also includes a pre-work section that consists of 12 hours of online tutorials to get one started. General Assembly also offers career support to students. Enrolled students have access to excellent career coaches and exclusive networking opportunities.

Thinkful: Data Science Bootcamp

Thinkful offers a six-month online Data Science bootcamp. This bootcamp will help students achieve job-ready skills and prepare them to enter the field of data science. The part-time, self-paced nature of the bootcamp allows students to study independently and flexibly. Tuition may be paid upfront or following one of Thinkful’s payment plans.

Thinkful provides students with 1-on-1 mentoring from career professionals. Students can schedule live personal video consultations with a mentor and receive detailed feedback on their work as well as career tips and insight.

Maricopa Community Colleges: Data Analytics Certificate

Maricopa Community College, located in Tempe, Arizona, offers a Certificate of Completion in Data Analytics. The certificate requires students to complete 18-24 credit hours which can be split between three to four terms. The program will teach students how to model, synthesize, analyze, and present large datasets. The skills learned in this course will benefit students looking to translate their data science skills into business decision-making.

This course is minutes away from the Phoenix area, making it a great choice for individuals interested in registering for in-person classes. Students also have the option of choosing between a part-time or full-time track, making this a fairly flexible learning option for those who have a busy schedule.

NYC Data Science Academy: Data Science with Machine Learning

NYC Data Science Academy offers students the option of enrolling in their in-person/remote live instruction or online data science certificate course. The course teaches data science fundamentals with a focus on machine learning. The hands-on program will help students build the necessary foundations and knowledge to begin a career in data science. Students will begin by learning R and Python at the basic level before moving on to machine learning with Python.

NYC Data Science Academy provides its students with extensive career assistance. They help students with resume support and interview guidance, and they give them access to the school’s network of hiring partners and events. Enrolled students may choose from several course schedules, including part-time or full-time and self-paced or remote live/in-person.

Certstaffix Training: Data Management and Manipulation with SPSS

Certstaffix Training’s live online Data Management and Manipulation with SPSS course is a two-day instructor-led course covering data transformation and automation using SPSS, a software package used for statistical analysis. Enrolled students will learn about operating SPSS and using syntax to efficiently transform data.

This course is best for individuals with experience using SPSS who are interested in learning more about the features SPSS has to offer in terms of data management and manipulation. If students do not have experience with SPSS, Certstaffix Training covers the basics of it in their Introduction to SPSS course. Students will have six months to retake the course for free.

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Key Insights

Learn More About Phoenix Data Science Certificates

Why Become Certified in Data Science?

What You’ll Learn While Becoming Data Science Certified

Machine Learning

Python

SQL

R

Predictive Modeling

Data Science Industries in Phoenix

Aerospace and Defense

Financial Services

Healthcare

Data Science Careers in Phoenix

Should You Pursue a Certificate or Certification

Top Data Science Certificate Programs in Phoenix

Noble Desktop:Data Science Certificate

General Assembly: Data Science Bootcamp

Thinkful: Data Science Bootcamp

Maricopa Community Colleges: Data Analytics Certificate

NYC Data Science Academy: Data Science with Machine Learning

Certstaffix Training: Data Management and Manipulation with SPSS

Phoenix Data Science Corporate & Onsite Training Noble Desktop

Phoenix Data Science
Corporate & Onsite Training