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11 Best Data Analytics Courses in New Jersey

As it is important to analyze the pros and cons before making a certain decision, it is also important to analyze new data to run a smooth business. How much data does your company collect from its customers? Are they happy with the service? What kind of information do you store? Data analytics is the practice of analyzing large amounts of data to gain insights into customer behavior. This helps businesses improve their offers. In this article, we will learn in-depth about data analytics, how it works, its benefits, data analytics courses in New Jersey, and various job aspects after doing it.

List of best data analytics courses in New Jersey

What is Data Analytics?

Data analytics is the process of examining large amounts of raw data sets to uncover patterns and correlations. The goal of data analytics is to gain insights that can be used to improve business performance or make better decisions. Data analytics is a growing field, with more and more businesses using it to improve their operations.

Companies today collect a huge amount of data from their customers. They are interested in hearing what clients have to say. There is a lot of buzz around data analytics and for good reason. The potential to use data to make better decisions is huge.

Data analytics allows you to look at past data to understand what has happened and then use that information to predict what might happen in the future. This makes it possible to identify patterns and trends that would otherwise be hidden.

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How Does Data Analytics Work?

The usage of data analytics is increasing day by day. It plays a crucial role in how firms function. Data analytics helps in understanding customer behavior, needs, and wants. The data collected can be used to improve marketing campaigns, products, or services. Below are the 5 steps to how data analytics works.

1. Set Defined Questions: The first step in data analytics is to set questions or goals. A business needs to prepare some questions before they can go and collect data. Clearly stating your objectives and research questions in the data analysis process will help you and guide you through the rest.

2. Collect Data: The next step in data analytics is to collect data. There must be data available before you can begin analyzing. Data may contain sales histories, cloud storage, information about clients, and more. It’s crucial to check that all data is accessible when utilizing a business intelligence tool. The amount of information needed ultimately depends on the question you’re trying to answer.


3. Cleansing of data: Now that all of your data is in one place, the third step is to cleanse data. It is crucial to clean the data before starting the analysis phase. Make sure the data is in a format that can be used as a significant component of the cleansing process. This can frequently be a lengthy and difficult procedure. Data purification is essential to maximizing the accuracy of your research.

4. Analyze the data: Now that the process of cleaning the data is completed, the next step is to conduct an analysis. It is important to choose the correct analysis method to analyze the question or goals that were previously stated. There are 3 major analysis methods:

  • Diagnostic Analysis – Data is used in diagnostic analysis to identify a problem’s root cause and potential solutions.
  • Descriptive Analysis – By summarizing the most important sections, descriptive analysis can characterize the data.
  • Predictive Analysis – It uses both historical data and statistical modeling to make future performance predictions for certain indicators.

5. Interpret the results: Once the analysis process is done, it is time to interpret the results. The results can be interpreted in one way by using data visualizations. These can be carried out using various coding tools. These tools are excellent at enabling users to produce visualizations to inform stakeholders, clients, and internal executives about important metrics and trends.

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Benefits of Using Data Analytics

There are many benefits to using data analytics. It helps in various ways in different fields. Whether to make better decisions, increase efficiency or reduce cost, data analytics can help you achieve that.

  • Data Analytics helps in business: Businesses can make better decisions about improving their products and services by analyzing data. Data analytics can also help businesses identify trends and understand customer behavior.
  • Data Analytics helps in healthcare: There are many benefits of using data analytics in healthcare. It can help improve diagnoses’ accuracy and treatments, and prevent medical mistakes.
  • Data Analytics helps in education: Teachers can better understand a student’s interests and work to improve their learning experience by using the information gained from behavior analysis and other assessments.

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Top 5 Data Analytics Tools to Use

Data analysis tools are software and programs that gather and examine information about a business, its clients, and its rivals. With millions of data in existence, a data analyst needs to use a variety of tools and techniques to extract insights from data to streamline operations and help in identifying trends. Below are the top 5 Data Analytics tools that you can use.

  • Python: Python is a well-known multi-purpose programming language extensively used for its adaptability and a large collection of libraries that are useful for analytics and complicated calculations. Python is free to use and you can download it from its official website.
  • Microsoft Excel: Microsoft Excel helps users to format, organize, and calculate data in a spreadsheet. A few versions of Excel are free for one month. Each of these has a variety of versions with features and price points that vary.
  • RapidMiner: RapidMiner is a data mining program that supports model deployment, model operations, and data mining. The complete data science platform provides all of the machine learning and data preparation skills required to make a great difference in any organization. There is a 30-day trial for new users after that money is charged.
  • Tableau: Tableau is a complete data analytics tool that enables you to prepare, analyze, work together, and share your big data findings. With Tableau, users can browse large data, perform self-service visual analysis, and instantly communicate their findings with others within the organization. It is a free tool for discovering, making, and sharing data visualizations with the public.
  • Power BI: Using Microsoft Power BI, an organization’s data is searched for insight. Power BI may assist in fusing separate data sets, transforming and cleaning the data into a data model, and producing charts or graphs to show the data visually. The Power BI users can access and use all of this information within the company. Both free and paid licensing options are available with the Power BI service.

Data Analytics Career Opportunities

Data analytics is one of the most in-demand occupations globally. Due to the strong demand for their skills and the absence of skilled individuals, data analysts attract top salaries and perks, even at the entry-level. Below are some of the career prospects you can do after finishing the data analytics course.

  • Business Intelligence Analyst
  • Data Scientist
  • Data Engineer
  • Data Analytics Consultant
  • Marketing Analyst

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Data Analytics Courses

In data analytics courses, students can pick up the core abilities required to collect, organize, analyze, and display data. Courses cover the fundamentals of programming using applications like Python, Microsoft Excel, and Tableau. If you’re looking to learn data analytics then here are the top 10 offline and online institutes that teach data analytics courses in New Jersey.


Top 11 Institutes for Data Analytics Courses in New Jersey


Rank #1. Data Analytics Courses in New Jersey


IIM SKILLS was founded and started by Vaibhav Kakkar in the year 2015 with the first course in content writing. In so many years of journey, they started with a wide range of courses that are certified and globally recognized. One of their high-ranking courses is data analytics courses in New Jersey.

They function worldwide on an online platform based in Delhi. Data Analytics Course by IIM SKILLS is a comprehensive 6 months of live training online session which is offered with an extended practical training internship of 2 months which is optional.


The course curriculum is best designed for all levels of learners from beginners to professionals. They have a team of the most efficient mentors with years of professional experience and are domain experts.

They offer a 100% refund if you are not happy with the first session of the course. Also an additional 10% for those willing for group registrations. The course is practical and tool-oriented with weekly assignments.


Recordings of the live sessions are regularly shared for future reference or in case you miss the session. The learning materials are given free access for a lifetime.

Also Read: IIM SKILLS Data Analytics Course Review

The Types Of Data Analytics Tools Covered:

  • Python 1 & 2
  • R
  • Basic & Advance Excel
  • VBA
  • Tableau
  • Alteryx
  • SQL
  • Power BI

Other Professional Courses from IIM SKILLS


Contact Information:

+919580740740, [email protected]

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Rank #2. Data Analytics Courses in New Jersey

2. Saint Elizabeth University (SEU)

In the list of data analytics courses in New Jersey, we have Saint Elizabeth University. It is a private, coeducational, four-year liberal arts college in Morris Township, New Jersey. There are additional campus areas in Florham Park. SEU provides 25 undergraduate majors, 16 master’s degree programs, and two doctoral degrees.


The M.S. in Data Analytics program offers students the training they require to succeed in this quickly growing and in-demand sector of the economy. As you explore the complexities of data analytics, learn about a variety of topics relating to data collection, manipulation, processing, analysis, and visualization.

Degree Requirements

For the program, a total of 32–36 credits must be completed. All students need to take the following courses:

Required Courses (32 Credits)

  • CS601 – Foundation of Analytics 4
  • CS603 – Database Design and Management 4
  • CS613 – Cryptography and Data Security 4
  • CS617 – Data Analysis and Visualisation 4
  • CS625 – Data Mining 4
  • CS631 – Statistical Methods 4
  • CS637 – Time Series and Forecasting 4
  • MC626 – Ethical Issues 3
  • CS697 – Capstone 1

Optional Open Elective Course (4 Credits)

  • CS695 – Special Topics 4

For more details, visit their website.



(973) 290-4000




2 Convent Road

Morristown, NJ 07960


[email protected]

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Rank #3. Data Analytics Courses in New Jersey

3. Drew University (DU)

Next, in the list of data analytics courses in New Jersey, we have Drew University. It is a private university located in Madison, New Jersey. Drew University’s 186-acre campus is covered in woods, giving it the nickname “University in the Forest.” As of autumn 2020, more than 2,200 students were pursuing degrees at the university’s three schools.


The course teaches students how to extract information from data. The curriculum includes statistics, data science, and programming classes in addition to real-world data analytics projects and internship opportunities in a range of industries. Students finish the program with a portfolio of data analytics projects that demonstrate how they used their expertise in internship and case study assignments.

Through these programs in Data Analytics:

  • Learn how to compile, prepare, and manage data from a variety of sources
  • Master the methods for data analysis
  • Experiential learning projects and internships will provide you with a portfolio of your work and job experience

Degree Requirements

All the students need to take the following courses.

Required Courses (30 credits)

 Core Courses (21 credits)

  • DATA502 – Data Visualization
  • DATA503 – Applied Regression Analysis
  • DATA504 – Network and Text Mining
  • DATA505 – Statistics Using R
  • DATA506 – Computational Thinking/Programming in Python
  • DATA552 – Data Analytics using SQL and Relational Databases
  • DATA601 – Machine Learning

Required Capstone Courses (6 credits)

  • DATA875 – Data Analytics Internship
  • DATA975 – Case Studies for the Capstone in Data Analytics

Elective Course (3 credits)

  • DATA551 – Modeling and Simulation
  • DATA602 – Business Analytics
  • DATA683 – Topics in Data Analytics
  • DATA690 – Master’s Tutorial
  • FIN507 – Financial Economics
  • FIN523 – Behavioral Finance

Foundational Courses (6 Credits)

Students must complete the below courses before enrolling in the Data Analytics required courses.

  • STAT207 – Introduction to Statistics or equivalent or permission of Department Chair
  • CSCI150 – Introduction to Computer Science in Python or equivalent or permission of Department Chair





Rank #4. Data Analytics Courses in New Jersey

4. Montclair State University (MSU)

Next, in the list of data analytics courses in New Jersey, we have Montclair State University. It is a public research institution located in Montclair, New Jersey, with portions of its campus extending into Little Falls. As of autumn 2018, MSU was New Jersey’s second-largest public university by enrollment.


The Business Analytics (MS) program covers a wide range of topics in-depth, including data analytics, statistical and predictive modeling, the analysis of structured and unstructured data, enterprise architecture, data management, analytics for pricing, knowledge discovery, analytical reporting, and data visualization. Students gain depth of skill in utilizing analytics to identify trends and patterns as well as to refine and improve any suggested data-driven plans.

Admission Requirements

They are looking for students who are proficient in math and who are passionate about applying technological and analytical skills to solve business problems. To be eligible to apply for a graduate program, the students must have the equivalent of a bachelor’s degree in the United States, according to the Office of Graduate Admissions.

For information on the equivalency of non-U.S. degrees, candidates should see their International Applicants website page. There are some supplemental materials that the students need to carry along with their application forms for the Business Analytics program.

  • Transcript (one from each college attended)
  • SOP (Students need to write according to the questions asked by them)
  • Resume
  • Two letters of recommendation


The MS in Business Analytics program requires 30 credits of coursework. The 10-course, 30-credit program is designed for full- or part-time study and can be completed in 18 to 24 months.



+1 973-655-4000, 973-655-5147




1 Normal Ave,

Montclair, NJ 07043, United States


[email protected]


Rank #5. Data Analytics Courses in New Jersey

5. New Jersey City University School of Business (NJCU)

Next, in the list of data analytics courses in New Jersey, we have New Jersey City University. It is a public university located in Jersey City, New Jersey. Originally founded in 1927 and known as Jersey City State College for the first 40 years of its existence.


The goal of NJCU’s Master of Science in Business Analytics and Data Science program is designed to prepare students for careers in the data analytics sector, which is growing rapidly. After completing the Master of Science in Business Analytics and Data Science degree, graduates will be prepared to gather, store, analyze, and comprehend enormous amounts of big data to support sound business decisions.

Graduate students interested in analytics can focus their studies through the NJCU School of Business program on approaches relevant to specific business disciplines like finance, marketing, logistics, and accounting.


Admission Requirements

There are certain admission requirements that students need to follow while taking the data analytics program.

  • A completed graduate school application and a $55 non-refundable application fee
  • A 1,000–2,000 word essay explaining your reasons for applying to the program, as well as how your background, skills, and goals align with it
  • Two letters of recommendation
  • A current résumé that includes your education, previous employment, engagements in the professional world, and extracurricular activities



+1 201-200-2000, (201) 200-3409




John F. Kennedy Blvd,

Jersey City, NJ 07305, United States


[email protected]


Rank #6. Data Analytics Courses in New Jersey

6. Rowan University (RU)

Next, in the list of data analytics courses in New Jersey, we have Rowan University. In addition to a public research university in Glassboro, New Jersey, Rowan Institution also has an academic and medical campus in Camden. Glassboro Normal School was founded there in 1923 in a 25-acre area donated by 107 people.


The Rowan University Master of Science in Data Science program is designed for students who already have a Bachelor’s degree in a STEM-related field and want to expand their knowledge and career options. The curriculum gives students interested in those sectors a strong foundation in data mining, modeling, statistical analysis, and machine learning, but it also gives them the option to focus on either business data analytics or health data analytics.


The M.S. in Data Science program consists of 10 courses and 30 graduate semester hours in total. Part-time and full-time enrollment options are available in this program.

Foundation Course

Candidates must have completed the following courses at an accredited institution:

  • Calculus II
  • Probability and Statistical Inference for Computing Systems
  • Linear Algebra
  • Computer Science and Programming or Introduction to Object-Oriented Programming
  • Data Structures and Algorithms or Data Structures for Engineers


The M.S. in Data Science program is made up of

  • 10 courses with 30 hours of the total program semester
  • No Graduation / Exit / Thesis Requirements.
  • Foundation Courses

Admission Requirements

Below is a list of materials required to begin the program application process. Additional procedures or materials can be required for admission to the program.

  • Bachelor’s degree (or its equivalent) from a recognized higher education institution
  • Current professional resume
  • $65 (U.S.) application fee (not refundable)
  • Typewritten SOP (Students need to write according to the questions asked by them)
  • Two letters of recommendation



+1 856-256-4000, 08028 • 856-256-4000




201 Mullica Hill Rd,

Glassboro, NJ 08028, United States


Rank #7. Data Analytics Courses in New Jersey

7. Thomas Edison State University (TESU)

We have Thomas Edison State University on the list of online data analytics courses in New Jersey. It is a state university located in Trenton, New Jersey. The institution is one of New Jersey’s 11 senior public research institutions. Thomas Edison State University offers both undergraduate and graduate degrees.


The Bachelor of Science degree in Data Science and Analytics program can be completed entirely online by combining online data science and analytics courses with online exams, courses, and other credit-earning possibilities from Thomas Edison State University. The credits obtained by successfully finishing the degree-required courses will satisfy the program’s field of study criteria.

Credit Distribution

The credits are distributed in the following ways.

General Education Featured Courses (46 Credits)

  • Intellectual and Practical Skills (15 Credits)
  • Civic and Global Leadership (9 Credits)
  • Knowledge of Human Cultures (15 Credits)
  • Scientific Knowledge (7 Credits)

Area of Study (42 Credits)

  • Core Area of Study Courses (23 Credits)
  • Area of Study Electives: Students select four of the following courses (12 Credits)

Electives (32 Credits)

Total credit hours are 40. For more details, visit their website.



(609) 777-5680


111 W State St, Trenton,

NJ 08608, United States




Rank #8. Data Analysis Courses in New Jersey

8. Rutgers University (RU)

Next, we have Rutgers University on the list of online data analytics courses in New Jersey. It is a public land-grant research university with four campuses. Under the name, Queen’s College, Rutgers was founded in 1766 and affiliated with the Dutch Reformed Church.

Data Analysis Courses in New Jersey

The professional Master Program in Data Science, which also includes the MS Program in Data Science, is offered by the Department of Statistics at Rutgers University in collaboration with the Department of Computer Science.

  • A 30-credit program that can be finished in three semesters of full-time study
  • Part-time students will be accepted for every evening course.
  • The program is DHS STEM-designated, allowing international students to participate in up to 36 months of practical instruction without the need for corporate sponsorship


  • A thorough understanding of the computational infrastructure and algorithmic tools required to manage, examine and make sense of uncertain and complex data
  • Exceptional technical proficiency in data visualization, analysis, and summarization
  • The communication and leadership skills necessary for successful careers as data scientists



110 Frelinghuysen Road

479  Hill Center, Busch Campus

Piscataway, NJ 08854




[email protected]


Rank #9. Data Analysis Courses in New Jersey

9. Seton Hall University (SHU)

Next, in the list of online data analytics courses in New Jersey, we have Seton Hall University. It is a private Catholic research university with its main campus in South Orange, New Jersey. The oldest diocesan institution in the country is called Seton Hall. It was founded in 1856 and named for Saint Elizabeth Ann Seton by the then-bishop James Roosevelt Bayley.

Data Analysis Courses in New Jersey

The MS in Business Analytics program offers excellent foundations in both business operations and data analytics (STEM MSBA). The program develops managers and executives with marketable skills. Graduates feel at ease speaking with managers just as much as they do with quantitative analysts.

The STEM classification gives an additional benefit by allowing international students to apply to extend their 12-month optional practical training (OPT) by an additional 24 months.

Pre-qualification Courses

Pre-qualification courses do not count toward graduation but are meant to help students refresh and enhance their Excel and core math skills. The MS in Business Analytics (MSBA) offers two pre-qualification courses, each of which costs $475. Each student must complete the pre-qualification which is provided online.


The program covers everything a business decision-maker needs to know, from using R/Python, JSON, and SQL, to examining business processes through data models, to extracting meaning from big, unstructured data.

Courses (21 Credits)

  • BSAN 7001: Intro to Data Analytics and Business Intelligence 3
  • BSAN 7031: Databases and SQL        3
  • BSAN 7041: Business Processes and Data Models      3
  • BSAN 7011: Exploratory Data Analysis and Data Visualization 3
  • BSAN 7021: Predictive Analytics 3
  • BSAN 7051: Big Data Analytics 3
  • BSAN 9000: Capstone Project 3

Elective Courses (9 Credits)

  • Approved IT or Quantitative Analysis electives 9

Total 30

Admission Requirements

There are certain materials required through the admission process.

  • The application form
  • Official Transcripts
  • Resume
  • SOP (Students have to write it based on the questions asked by them)
  • Application Fee



(973) 761-9000


400 South Orange Ave

South Orange, NJ 07079




Rank #10. Data Analysis Courses in New Jersey

10. Stockton University (SU)

Next, on the list of online data analytics courses in New Jersey, we have Stockton University. It is a public university located in Galloway Township, New Jersey. It is a part of New Jersey’s public higher education system. It is named after Richard Stockton.

Data Analysis Courses in New Jersey

Students attending the Data Science and Strategic Analytics (DSSA) Program at Stockton will obtain significant experience with sophisticated, industry-standard computational software and programming tools to research data-driven themes in the humanities, social sciences, business, and/or science.

Additionally, students will learn how to analyze data, present it, and display it so they can forecast outcomes and visualize findings.



The Master’s degree program has 30 credits (10 graduate courses), which can be finished in one year of full-time study (or part-time study). In a year of full-time study, it might be finished (Fall, Spring, Summer). The courses are hybrid online offerings, students will meet with instructors at Stockton’s Kramer Hall Instructional Site once per week.

DSSA Curriculum – 30 credits

All courses are for 3 graduate credits.


  • DSSA 5001 An introduction to analytics and data science
  • DSSA 5101 Data Exploration
  • DSSA 5102 Data gathering and warehousing


  • DSSA 5103 Data Visualization
  • DSSA 5104 Deep Learning
  • DSSA 5201 Machine Learning


  • DSSA 5202 Data Entrepreneurship
  • DSSA 5203 Data Stewardship


  • DSSA 5301 Communicating Data Stories
  • DSSA 5302 Data Practicum

 Prerequisite Requirements

  • A baccalaureate degree from a regionally accredited college or university
  • A minimum 3.0 undergraduate GPA is required, with an overall average of at least 3.2 in all quantitative courses

There are certain materials the students need to submit for admission purposes.

  • Application fee: $50 (non-refundable) submitted with your online application
  • 3 letters of recommendation
  • Official transcripts
  • Resume
  • Students whose second language is English must take the TOEFL exam

And some other materials which you can find on their website.



(609) 652-1776


101 Vera King Farris Drive

Galloway, NJ 08205-9441




Rank #11. Data Analytics Courses in New Jersey

11. Saint Peter’s University (SPU)

Lastly, in the list of online data analytics courses in New Jersey, we have Saint Peter’s University. It is a private Jesuit institution located in Jersey City, New Jersey. It was founded in 1872 as Saint Peter’s College by the Society of Jesus. The institution offers more than 60 undergraduate and graduate programs to its more than 2,600 undergraduate and 800 graduate students.

Data Analysis Courses in New Jersey

The Master of Science in Business Analytics program is developed for managers and professionals who are already working in the field and want to improve their subject-matter expertise, data analysis skills, and capacity to use and monetize data in operational processes and business decisions to meet customer demands.


The curriculum provides a unique combination of skills and knowledge for managers. Among the topics covered are finance, strategic management, and advanced data analysis and visualization.

Key Highlights

  • Master of Science in Business Analytics degree awarded
  • Location: Jersey City Campus, Online/Hybrid
  • Duration: 30 Credits. A full‐time student taking 30 credits/year should complete in 18 months (Part-time: 15 credits/year in 21 months).
  • Trimester (11 weeks)
  • Some hybrid/online courses are available.





2641 John F. Kennedy Boulevard

Jersey City, NJ 07306



Q1. Does the Data Analyst need coding?

Coding skills are not generally required for positions in data analysis, but some data analysts do have to do it daily. Although simple data analysis tasks, like interpreting, can be carried out without writing code, the emergence of big data has increased the technical complexity of the role of the data analyst, making coding much more likely to be required.

Q2. How much does data analytics cost?

The investment is totally up to you. The spending should be between 2-6% of your data analytics budget. The majority of organizations allocate 2 to 6 percent of their total expenses which include tools, salaries, and services to data analytics.

Q3. How much data is needed for statistical analysis?

It takes at least 30 observations to do meaningful statistical analyses. This can be interpreted in a variety of ways, with the most fallacious one being that your confidence interval can be trusted with a sample size of 30.

Q4. Should I study Python or SQL?

If someone is sincere about starting a career as a developer, then studying SQL is a better option as it is a standard language and has an intuitive structure & programming, and coding tasks can be completed more quickly. Python, on the other hand, is for proficient coders.

Q5. Who is qualified to use data analytics?

Education and business expertise. You should have industry knowledge in the field you operate in and a degree in any relevant field. However, you can still become a data analyst if you have the requisite skill set and come from a different background.

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