Best Data Analytics Certificates Philadelphia, PA: Find Courses & Onsite Training

Learn More About Philadelphia Data Analytics Certificates

Every day, people produce a massive amount of data, and that amount continues to grow larger each day. Microsoft explains, “Data is woven into the everyday fabric of our lives.” With the rise of mobile, social media, and smart technologies associated with the Internet of Things (IoT), we now transmit more data than ever before—and at a dizzying speed.” Data analytics is the process of collecting, organizing, and analyzing all the data that is generated daily. Analysts use a variety of different tools to do so, including programming languages like Python and SQL and platforms like Tableau and Power BI.

Businesses of all types and sizes use data analytics to better understand their customers and business processes, and improve the way they do business. Adobe Business explains the benefits of using data analytics. It says, “Data analytics… can empower organizations to make smarter, data-driven decisions about the future of their business. By analyzing historical data and identifying patterns, businesses can strategically plan, accurately forecast, and quickly adapt to a volatile economy to give them a competitive edge.” In addition, it says, “Data analytics can also reduce spending and increase return on investment (ROI) by finding bottlenecks, streamlining operations, and optimizing resource allocation. It can even identify waste or fraud.”

Why Become Certified in Data Analytics?

One reason you might want to become certified in data analytics is that research shows that most job fields involving data analytics are likely to see significant growth in the future. The U.S. Bureau of Labor Statistics (the BLS) tracks labor market data for many different jobs. It has a category for Data Scientists, who have a similar job description to Data Analysts, but generally have more education and experience. The BLS predicts that data science jobs will grow by 35 percent between 2022 and 2032, which is an incredibly high rate compared to the average job growth rate of only 3 percent. The BLS explains, “Employment growth for data scientists is expected to stem from an increased demand for data-driven decisions.” Financial analysis is another career that relies on data analysis, and like data science, it is expected to see above-average job growth; 8 percent according to the BLS. The BLS finds that one of the major reasons driving this growth–as with data science–is the increasing importance of big data and the need for people who know how to work with it. Market Research Analysts also rely on data analytics. The BLS predicts 13 percent job growth for this occupation.

Data analytics careers tend to pay well, which is another reason to become certified in this field. According to salary estimates provided by the BLS, in the United States, Data Scientists have a median pay of just over $103,000. Financial Analysts earn about $96,000, and for a Market Research Analyst, the median pay is about $68,000. The median annual wage for all workers in the United States is much lower, at just over $46,000.

Becoming certified in data analytics also gives you an in-demand job skill. According to the World Data Science Initiative, data science, in particular, is a hot profession right now. The organization explains, “Organizations around the world are finding it a big challenge to handle the enormous amounts of data at their disposal, and an even bigger challenge is how to manage the future datasets that will be exponentially larger.” Further, it says, there are currently not enough qualified professionals to fill that need. It states, “The demand for data analysts and scientists is like gushing water that is unstoppable and the supply is like a trickle.”

What You’ll Learn While Becoming Data Analytics Certified

When you become data analytics certified, the skills you’ll learn will depend on the specific program that you enroll in. For instance, some courses are more general, while others focus on specific types of analysis, like working with Power BI or Python. However, while you’re likely to find many differences between courses, you're also likely to find that many courses have some things in common. For example, when you study data analytics, you're likely to learn how to work with databases. Most courses also cover statistical analysis, since this is a fundamental part of analytics. In addition, you’ll probably learn how to use programming languages and data analytics platforms, which are also fundamental data analytics tools. Finally, while becoming certified, you'll likely work on several real-world projects as a way to practice your new skills.

How to Work with Databases

In order to analyze data, you need to first get it from somewhere. Since data is stored in databases, most courses include instruction on how to work with those databases to obtain the data that you need. For instance, you might learn how to use SQL to communicate with relational databases.

Statistical Analysis

Statistics is a branch of mathematics that deals with collecting, analyzing, and interpreting data. You can’t be a Data Analyst without using statistics, so when you’re getting certified, it's very likely that you will learn some statistical analysis skills. There are many different statistical tools that can be used to collect, study, and manipulate data.

Programming Languages

Programming languages are not just used for designing websites and software programs; they are also vital tools for data analytics. When you get certified, you’re likely to learn how to use at least one programming language to work with your data. For example, you might learn how to use Python for running statistical calculations or creating data visualizations. R is another popular programming language for data analytics, and can also be used for statistical calculations.

Data Analytics Platforms

Data analytics platforms are a popular tool among Data Analysts. They are used for visualizing data, which means representing it visually through things like graphs and charts. Visualization can help you make better sense of your data, and it’s also a great way to share your insights with other people. Power BI and Tableau are two popular analytics platforms.

How to Work on Real Projects

Working on real projects can be a great way to really master your new data analytics skills. For this reason, many certification courses include work on a variety of real-world projects. In addition to helping you better understand new concepts, working on these projects also provides material that can be included in your portfolio. By building up your portfolio, you’ll be able to demonstrate your skills to potential employers when you start looking for a job.

Data Analytics Industries in Philadelphia

If you’re looking for a job in data analytics, you’ll find many different opportunities in Philadelphia. The area has a sizable economy. Select Greater Philadelphia says, “Generating more than $450 billion in gross regional product, Greater Philadelphia exerts global influence as one of the nation’s biggest markets.” The organization reports that the area’s largest industries are healthcare, education, professional/tech services, manufacturing, and finance and administration.

One industry that generates a lot of data analytics jobs is finance, and Philadelphia’s finance industry is one of its most important sectors. According to Select Greater Philadelphia, “Located at the heart of one of the most vital regions in the nation’s economy, Greater Philadelphia’s financial services industry has deep roots and far-reaching ambitions.” Some of the major financial companies located there are Lincoln Financial, Vanguard, Colonial Penn, FS Investments, Radian, and Delaware Funds by Macquarie.

Philadelphia also has a growing tech scene. Select Greater Philadelphia reports, “The technology sector is booming in Greater Philadelphia.” It says, “Every key technological innovation of the 21st century—robotics, ecommerce, artificial intelligence, advanced logistics, digital health, FinTech, telecommunications, you name it—can be found in our 11-county region.” The organization explains that one of the reasons for this growth is that Philadelphia encourages innovation and has been named one of the best places in the world to start a business.

Data Analytics Careers in Philadelphia

Data analytics skills are utilized in a wide range of different careers. For instance, with data analytics skills, you could work as a Data Analyst, which is someone who gathers, processes, and analyzes data. When you’re just starting out, you may work as a Junior Data Analyst, and with experience, you could progress to a Senior Data Analyst position. Another data analytics position is that of Big Data Analyst, which involves working with large sets of data, also known as “big data.” According to Payscale, a Data Analyst working in Philadelphia earns approximately $66,000 per year. For a Senior Data Analyst, that rises to $85,000.

Data Scientists also analyze data, but in addition, they work on creating new ways of analyzing it. Most Data Scientists have a lot more education and experience than Data Analysts, often including a lot of mathematical and statistical training. According to data provided by Payscale, a Philadelphia Data Scientist earns almost $97,000 each year.

Data Analysts and Data Scientists also work in jobs that are more specialized. For example, many focus on business and finance data. A Business Analyst analyzes data to help businesses improve their products and processes. A Financial Analyst conducts financial data analysis to help companies make better financial decisions. Digital Analysts specialize in analyzing data that comes from digital sources like social media sites or Google Analytics. Market Research Analysts study data to help businesses understand what types of goods and services people want. According to Payscale, a Business Analyst in Philadelphia makes an annual salary of about $70,000, and a Financial Analyst earns about $63,000. Payscale finds that the average salary for a Digital Analyst is $60,000, and for a Market Research Analyst, it is $64,000.

Machine Learning Engineers also use data analytics. A recent LinkedIn article explains, “Machine learning, a branch of artificial intelligence (AI), has become one of the most important developments in data science. This skill focuses on building algorithms designed to find patterns in big datasets, improving their accuracy over time.” Like Data Scientists, most Machine Learning Engineers are well-educated and have a fairly high average salary. Payscale finds that a Machine Learning Engineer in Philadelphia earns about $98,000.

The Bureau of Labor Statistics also provides job information for data analytics jobs. It reports that Philadelphia is one of the ten metropolitan areas with the highest employment level for Data Scientists, and also for Financial and Investment Analysts.

Should You Pursue a Certificate or Certification

“Certificate” and “certification” sound quite similar, however, these two qualifications are actually very different from one another. You can earn a certificate by finishing a particular course of study at an educational institution. For instance, when you finish Noble Desktop’s six-week Data Analytics Certificate program, you are awarded a certificate. Every school has its own unique certificate programs that are different from those offered by other schools. The most common reason for pursuing a certificate is to prepare for a career in a field. Certificate programs generally cover a comprehensive set of skills and are designed to take beginners with very little experience, and get them ready for an entry-level job.

In contrast, a certification is usually more appropriate for someone who already has experience in their field, but wants to learn more about a specific skill. An example of a data analytics certification is the Power BI Data Analyst certification, which is earned by mastering Microsoft Power BI, and passing an exam to prove that mastery. Certifications like this are standardized credentials, that are the same no matter where you earn them. Many people pursue a certification as a way to advance within their existing career, since a certification can be a great way to stand out from your competitors.

Top Data Analytics Certificate Programs in Philadelphia

Data analytics is an in-demand skill that can lead to several different job options. A great way to get the skills needed to work in this field is by signing up for a certificate program. Whether you prefer an in-person or a virtual format, there are several different options in Philadelphia.

Data Analytics Certificate

Offered by the Community College of Philadelphia, this Data Analytics Certificate is designed to teach students to evaluate research techniques to get the most accurate results, use forecasting techniques, graphically represent statistics, and use analytics to make recommendations. There are 30 hours of instruction, and tuition is $399. The course runs in a live online format.

Students learn about how to use statistics in data analysis, including several common statistical tools and techniques. They learn about data analysis in the real-world, and how to use data analysis to improve organizational performance. They also learn about decision-making with data analysis.

Data Analytics Bootcamp

General Assembly was founded in 2011 and offers courses in coding, data, digital design, and marketing. It has campuses in more than 30 locations around the world, and also offers live online instruction. The Data Analytics Bootcamp is offered in a live online format. It has 60 sessions and costs $16,450. The full-time course takes 12 weeks to complete, with 40 hours of work per week. There is also a part-time option.

Students learn a broad range of data analysis skills in this class including how to acquire, analyze, and visualize data. They work with SQL, Excel, Python, Power BI, and Tableau, and also learn about how to ask the right questions and answer them with data. In addition, they work on a capstone project. This class also includes support from a professional career coach.

Data Analytics Certificate

Noble Desktop offers a Data Analytics Certificate with 156 hours of hands-on training. It takes six weeks of full-time training to complete, or 24 weeks part-time. Tuition is $4,995. Students also get the option of a free course retake within a year. Noble Desktop is a design and coding school that is located in New York City. It offers both in-person and live online classes. The school was founded in 1990.

In this course, students learn data analysis, data visualization, and statistical analysis. Both predictive and prescriptive analytics are covered. Students learn Excel, Python, SQL, and Tableau, and work on a variety of real-world projects. They also get eight one-on-one mentoring sessions, which can be used for either course or career help.

CBDA Master Class

The CBDA Master Class is offered by Adaptive US Inc., which offers Business Analyst Training both in-person and live online. There are four sessions in this class, and tuition is $449. The average class size is 16 people. Students who want to take this course need a computer with administrator access.

The course offers training for Certification in Business Data Analytics (IIBA®- CBDA), which is provided by the International Institute of BA (IIBA). Students receive 16 hours of live, instructor-led training for the exam, including more than 280 practice questions. They also have access to class recordings, and exam prep tutorials are provided.

Data Analytics Technologies Bootcamp

NYIM Training was founded almost two decades ago. It is based in New York City, but also offers live online classes, including this Data Analytics Technologies Bootcamp. The Bootcamp is made up of eight seven-hour sessions, and costs $1,949. There are an average of ten people per class. The bootcamp covers data analysis and visualization, including SQL, Excel, and Tableau.

In the first section of the course, students focus on Excel, learning how to create charts and tables, work with text functions, analyze data with Pivot Tables, perform what-if analyses, and automate workflows. After that, they learn to work on visualizations with Tableau. This includes importing data, manipulating data, sorting and filtering, creating visualizations and dashboards, and publishing results. Students also learn several SQL skills such as querying in SQL, joining and aggregating data, working across multiple tables, and advanced functions.

Introduction to Structured Query Language (SQL) for Data Analytics

This course is offered by the Borough of Manhattan Community College, which is a public community college that was founded in 1963. It runs in a live online format, via Zoom. Tuition is $147, and there are a total of 12 classes. Classes run in the evenings, and have an average of 20 people.

In this class, students learn how to extract data from a relational database with SQL. Instructors lecture on the history of SQL, and basic relational database concepts. Students learn about structured programming, naming conventions, and basic syntax. In addition, they learn to query two or more datasets, use clauses, use sub-queries, understand data types, alter databases, and create, drop, and alter views.

Featured Classes from Noble Desktop

Top Certificate Programs

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Featured Classes from Noble Desktop

Top Certificate Programs

Featured Classes from Noble Desktop

Top Certificate Programs

Top Courses

Featured Classes from Noble Desktop

Top Certificate Programs

Top Courses

Data Analytics Certificates Philadelphia, PA

Data Analytics Certificate Learn The Skills Guarantee™

Noble Desktop Python for Data Science Bootcamp

Noble Desktop SQL Bootcamp

Key Insights

Learn More About Philadelphia Data Analytics Certificates

Why Become Certified in Data Analytics?

What You’ll Learn While Becoming Data Analytics Certified

How to Work with Databases

Statistical Analysis

Programming Languages

Data Analytics Platforms

How to Work on Real Projects

Data Analytics Industries in Philadelphia

Data Analytics Careers in Philadelphia

Should You Pursue a Certificate or Certification

Top Data Analytics Certificate Programs in Philadelphia

Data Analytics Certificate

Data Analytics Bootcamp

Data Analytics Certificate

Data Analytics Technologies Bootcamp

Introduction to Structured Query Language (SQL) for Data Analytics

Philadelphia Data Analytics
Corporate & Onsite Training

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Courses

Data Analytics Certificate Learn The Skills Guarantee™

Noble Desktop Python for Data Science Bootcamp

Noble Desktop SQL Bootcamp

Key Insights

Learn More About Philadelphia Data Analytics Certificates

Why Become Certified in Data Analytics?

What You’ll Learn While Becoming Data Analytics Certified

How to Work with Databases

Statistical Analysis

Programming Languages

Data Analytics Platforms

How to Work on Real Projects

Data Analytics Industries in Philadelphia

Data Analytics Careers in Philadelphia

Should You Pursue a Certificate or Certification

Top Data Analytics Certificate Programs in Philadelphia

Data Analytics Certificate

Data Analytics Bootcamp

Data Analytics Certificate

Data Analytics Technologies Bootcamp

Introduction to Structured Query Language (SQL) for Data Analytics

Philadelphia Data Analytics Corporate & Onsite Training Noble Desktop

Philadelphia Data Analytics
Corporate & Onsite Training