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Top 5 Data Analytics Courses in New Jersey With Placements

New Jersey city played a vital role in American history and its culture. This city is famous for its splendid nature, food, beaches, and casinos. Many universities offer courses to learn and grab the opportunity to join the best companies from all over the world. After adding the most sought-after courses, the universities provide both online and offline learning opportunities. You can get internship opportunities during the tenure of your course. This article will give you a brief about the top 5 data analytics courses in New Jersey

Top Data Analytics Courses In New Jersey

Explaining Data Analytics Briefly

Data Analytics is mostly a way to learn and examine new trends. After getting those trendy data you can find clear solutions. This information is important to store software. The techniques are mostly focused to understand the business needs. The company mostly wants to generate and higher its revenues, optimizing marketing campaigns and improving operational efficiency.

The main goal of data analytics is to understand the business application and focus on the performance level. A data analyst always focuses on gathering new information after using real-time analytics. There are different types of data available like exploratory data analysis, and confirmatory data analysis. Finding the best data analytics courses in New Jersey always gives good benefits.

The quantitative approaches mostly focus on understanding non-numerical data from Images, videos, and audio you can collect statistical data. The key performance indicators will be good to manage the self-service business performances to understand and build reports. With the help of data mining will be good to understand the new trends and patterns to build relationships. Machine learning can be useful to understand the algorithms to focus on data sets. You can find semistructured and unstructured data in the market. Among those you have to find out what types of data you required. The analytical applications can be good for business actions. 

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Ways to Improve Business Decisions

  • The key performance indicator is important in this process. It mostly focuses on solving problems. Every business needs to gather long information to keep a track record. 
  • With the help of self-service data visualization, you can add data to explain the process to start the analysis. Businesses always required good analytics capabilities to provide fast access. 
  • The data-gathering process is more time-consuming and has several sales-related applications. You have to focus on adding everything in an Excel file for future benefits. These data always will be focused on building good metrics to analyze data. 
  • Every data you will store can be repeatable for comparison. There are a few different types of versions to share with the spreadsheet. You have to understand the security concerns and financial responsibility to analyze it. You have the opportunity to learn data analytics courses in New Jersey. 
  • You can discuss the risk with your company. Learning about future risks will be good for the present scenario. 

The Term Self-service Data Preparation

It is an analytical tool and automates the process to reduce the analysis time. Afterward, the company will get results within a limited period. The business also needs to focus on data preparation and capability processes to understand self-service data preparation. Every data can be used to transform, analyze, understand metrics and generate reports. Data sets can be integrated from consistency and efficiency to learning the dashboard.

There is integrated data to manage the standard dashboard. You have to learn everything like the use of self-service data preparation. Knowing things in advance will help to understand the algorithms and potential threats. While searching for data analytics courses in New Jersey. You can ask your mentor about it. 

You have to focus on the market demands and its competitors. You have to understand the customers’ preferences too. Handling customers are the main thing for every company. Knowing records will be a good thing for a company to understand the present customers’ preferences. It will be good if you are talking with the customer directly. That means you will find out the most important things that might be useful for you. Direct information always will be authentic to identify solutions. Lots more things are waiting for you when you join data analytics courses in New Jersey. 

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The Types of Data Analytics

  • Predictive analytics usually focus on identifying the trends, and causation after gathering data. It can be used in statistical and predictive modeling. Mostly every business needs to focus on predictive analysis to understand the future trends for growth. You have to understand and practice the ways the company uses in advertising campaigns. Then you will calculate the ratios of the targeted audiences that can be convertible. That way, the company will understand the future possibility of generating revenues from the valuable demographics.
  • Prescriptive data analytics mostly covers big data and artificial intelligence. That way, you will understand the optimization process and random testing using data analytics tools. You might understand the values and generate positive outcomes. Using machine learning you will know different types of advancement while testing. You just have to focus on identifying the possible combination to generate higher values. All those processes you will learn while enrolling in any data analytics courses in New Jersey. Sometimes you might find bad optimizations while testing random data. You have to run the process twice or even thrice to understand the benefits. 
  • Diagnostic data analytics mostly understand the importance to serve and guide the business. It is most helpful when discovering the data and correlates with the process. There are a few techniques that can be used to drill down the data. Understanding the potential reason is the most important to close any deal. You have to understand the potential issues to figure out the requirement of the positions. It might be used in sales-related data. 
  • Descriptive analytics can create business intelligence and dashboards to create separate reports. You must understand the details of the performance metrics to generate efforts. After designing and scheduling the process you will know the in-depth information to answer and examine the customer profile. Understanding those profiles will be more valuable to pictures of the valuable reports. 
  • You have to understand the ways to make decisions about the competitors and market requirements. Everything depends on the present market situation. 

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Top Data Analytics Courses in New Jersey


IIM SKILLS is listed on the top for offering the wide range of skill development courses. The courses are all online and certified courses.


Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

Course Name & Details:

Data Analytics Course

6 Months Of Online Live Training Sessions with 2 Months of unpaid optional internship.

Fee – $608.16+Taxes

Learn To Use The Following Tools:

  • Excel
  • Python
  • Power BI
  • Tableau
  • SQL
  • Alteryx
  • R

Eligibility to Enroll For The Data Analytics Course:

Any fresh graduates/ post graduates from any sector/ industry like IT, banking, sales, network managers are suitable to apply for the course.

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2. Saint Peter’s University

This institute offers a data science program that helps understand computer science, statistics and data-based management. It is an MSc course proposed a graduate student can apply for their course program.  Their master’s program is customized for all the students. The semester is focusing on providing good services to understand the current market situation. It will allow you to understand the decision-making process. There are good opportunities available for you to discover. Students also tend to focus on completing higher education after completing graduation. The total program holds worth 36 credits. It will complete within 1.5 years. If you are thinking about learning Data analytics courses in New Jersey, then this university is good for you.

Course Module 


  • Data science introduction. (Code – DS-510)
  • Data analysis and decision modeling. (Code – DS-520)
  • Big data and data management. (Code – DS-530)
  • Python in data science. (Code – DS-542)
  • Data visualization. (Code – DS-620)
  • Machine learning. (Code – DS-630)
  • Law, data, ethics, and bus intel. (Code – DS-650)
  • Business analytics. (Code – DS-660)
  • Capstone: business analytics and big data. (Code – DS-670)

Electives (You can choose 3 courses from the module)

  • Statistical programming. (Code – DS-540)
  • Data mining. (Code – DS-600)
  • Financial analytics and computing. (Code – DS-605)
  • Big data analytics. (Code – DS-610)
  • Data analytics with Qliksense. (Code – DS-621)
  • Predictive analysis and operative research. (Code – DS-680)
  • Data science and health. (Code – DS-690)

Learning Benefits 

  • You will learn to analyze and recognize ethical issues that can come under data security, privacy, and intellectual property related to business. 
  • You even demonstrate the statistical data techniques to focus on the business decision-making process. 
  • You have to clear out the knowledge and analyze the data analytics techniques to understand the business requirement. All of these things you will learn while joining data analytics courses in New Jersey. 
  • You can apply the techniques to solve business problems. 
  • The data mining techniques are good for understanding and solving real-time problems.
  • You will learn to use algorithms to develop machine learning. 
  • There are few revive models and techniques to understand the ultimate problems after data visualization.
  • You even will learn leadership skills, organizational skills, and decision-making skills. 
  • The institution’s primary goal is to help you to get hands-on experience with big data tools. There will be a course work that explains every detail.


This institution has a hybrid course. This way you can attain two weekends on campus for the whole course. The first week will be eight hours of classes. The second thing will be you can complete your course both online and offline. 

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3. Drew University

This university offers certification programs in data analytics. Under the program, you will learn different types of data analytics techniques. You will get to prepare a project portfolio and gather work experiences to learn new types of internships. You get to manage that data, and obtain and prepare from several sources. Many sources like business, healthcare and others are required to create demand to collect actions. They have 12 credit certificate programs and 30 to 36 credit programs. It can help to gather general information to participate in the decision-making process. Their full-time programs are good as well as their graduate certification. Learning about data analytics courses in New Jersey will be good to understand course offerings.

Course Details 

Master of Science (Credit 30-36)

Foundation (Credit 6)

  • Introductory statistics.
  • Programming introduction. 

Fall (Credit 12)

  • Statistics using R. (Credit 3)
  • Programming in Python. (Credit 3)
  • Applied regression analysis. (Credit 3)
  • Elective. (Credit 3)

Spring (Credit 12)

  • Network and text mining.  (Credit 3)
  • Relational databases and data analytics using SQL.  (Credit 3)
  • Statistical machine learning.  (Credit 3)
  • Data visualisation and communication.  (Credit 3)

Summer (Credit 6)

  • Data analytics internship. (Credit 3)
  • Capstone.  (Credit 3)


There are other programs like the master of science two years part-time course that will start in the fall. Then another is a master of science two years part-time will start in spring. There is another graduation course and the credit will be 12. The outcome will be you can apply for analytics managers, data-driven decision markers, data analysts, data scientists and others. 

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4. Rutgers University

This institute offers courses related to informatics and data science. Their main goal is to educate students to share knowledge and skills while using data science and analytics-related tools. It will be good to focus on providing a direct decision-making process to gather success. Students mostly focus manage five different types of pathways. Therefore, you can choose your specific industry to learn every detail about it. If you need help selecting a background, you can take your advisor’s help. You might get a chance to select sector-based courses while searching data analytics courses in New Jersey.

Course Details 

Business Core Course

  • Principles of finance and accounting. (Credit 3)
  • Market assessment and analysis. (Credit 3)
  • Principles of communication and leadership. (Credit 3)
  • Ethics. (Credit 1)
  • Science and technology management capstone. (Credit 3)
  • Prerequisite courses.

Analytics Core Courses

  • Fundamentals of analytics. (Credit 3)
  • Database and data warehousing. (Credit 3)
  • Introduction to cloud computing and big data. (Credit 3)
  • Regression analysis. (Credit 3)
  • Advanced analytics and practicum. (Credit 3)

Health Informatics Pathway

  • Business intelligence visual analytics. (Credit 3)
  • Project management. (Credit 3)
  • Python methodologies. (Credit 3)
  • Interpretation of data. (Credit 3)
  • Elective. (Credit 1)

Technical Analytics Pathway

  • Business intelligence visual analytics. (Credit 3)
  • Elective. (Credit 1)
  • Applied artificial intelligence from concept to market. (Credit 3)
  • Big data algorithms. (Credit 3)
  • 2 electives.

Business Analytics and Intelligence 

  • Business intelligence with visual analytics. (Credit 3)
  • Competitive intelligence. (Credit 3)
  • Python methodologies. (Credit 3)
  • Enterprise software architecture. (Credit 3) or
  • Fundamentals of systems engineering for engineering management. (Credit 3)
  • Introduction to User experience design. (Credit 3)

Artificial Intelligence and Analytics 

  • Business intelligence with visual analytics. (Credit 3)
  • Applied artificial intelligence from concept to market. (Credit 3)
  • Python methodologies. (Credit 3)
  • Data storage and algorithms/problem-solving in python. (Credit 3)
  • Big data algorithms. (Credit 3) 
  • Introduction to cloud computing. 

Data Science and Security Intelligence 

  • Public health infrastructure and national security.  (Credit 3)
  • Risk management.  (Credit 3)
  • Global politics of internet security.  (Credit 3)
  • Politics of cyber warfare.  (Credit 3)
  • Essentials of cybersecurity and secure system.  (Credit 3)
  • Data privacy.  (Credit 3)
  • Information policy.  (Credit 3)
  • Information security.  (Credit 3)
  • Information security management.  (Credit 3)
  • Cyber security and artificial intelligence.  (Credit 3)
  • Risk analysis and mitigation.  (Credit 3)
  • Engineering decision-making under uncertainty.  (Credit 3)

Analytics and Supply Chain

  • Sustainability: Supply Chain management green purchasing.  (Credit 3)
  • Introduction to product design and development.  (Credit 3)
  • Transportation and environment.  (Credit 3)
  • Transportation and land use.  (Credit 3)
  • Transportation risk and security.  (Credit 3)
  • Risk analysis and mitigation.  (Credit 3)
  • Introduction to geographic information systems for policy and planning.  (Credit 3)
  • Risk analysis and mitigation.  (Credit 3)
  • Engineering decision-making under uncertainty. (Credit 3)

Analytics: Design Thinking and Analytics

  • Introduction to user experience design. (Credit 3)
  • Contextual inquiry. (Credit 3)
  • Visual design for user experience. (Credit 3)
  • Externship experience I.
  • Special topics: Information architecture. 

For Analytics Electives

  • Introduction to user experience design. (Credit 3)
  • Contextual inquiry. (Credit 3)
  • Visual design for user experience. (Credit 3)
  • Externship experience I.
  • Special topics: information architecture. 

Course Fees


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5. Stevens Institute of Technology 

This institute offers a data science master’s program with practical and theoretical skills. When you choose their course you will know which careers you will choose like business intelligence, cybersecurity, fintech and others. Every industry has requirements for analysing the data at a league scale of the database. It will be a good thing to understand modelling and visualisation to provide support to create decisions. There are lots of companies that higher master’s graduate students. The main advantage is you can customise your programs. Even you will get financial support for that. There are lots of elective courses in this university while searching data analytics courses in New Jersey.

Course Details 

Data Science Requiemnts

  • Statistical Methods. (Code- MA 541)
  • Deep learning. (Code- CS 583)
  • Advanced optimisation methods. (Code- MA 630)
  • Dynamic programming and reinforcement learning. (Code- MA 661)
  • Applied machine learning. (Code- CPE 695)


  • Introduction to programming, algorithms and data structures. (Code- CS 570)
  • Engineering Programming: python. (Code- EE 551)

For Fundamentals of Data Science (Electives)

  • Numerical linear algebra for big data. (Code- MA 544)
  • Time series analysis I. (Code- MA 641)
  • Spatial and Spatio-temporal statistical modelling. (Code- MA 613)
  • Tensor methods for data analysis. (Code- MA 617), and more

For Data Acquisition and Management (Electives)

  • Enterprise and cloud computing. (Code- CS 526)
  • Distributed systems and cloud computing. (Code- CS 549)
  • Data management systems
  • Data modeling, acquisition, and analysis: Big data analytics

For Data Security (Electives)

  • Fundamentals of cybersecurity
  • Discrete mathematics for cryptography
  • Foundations of cryptography
  • Privacy in a networked world
  •  Enterprise and cloud computing
  • Database security
  • Information security and law
  • Information systems security

For Business Applications (Electives)

  • Enterprise and cloud computing.
  • Web mining.
  • Cognitive computing.
  • Marketing analytics. 
  • Supply chain analytics.
  • Streamtreams analytics: internet of things.
  • Big data technologies.
  • 2D data visualization programming for finaapplicationscation
  • Data integration for business analytics and intelligence.

Course Benefits

  • They have a flexible course program.
  • They also give you four elective subjects to choose from. 
  • You will get non-thesis and thesis-based options. 
  • There are four steps in the curriculum and you have to choose subjects from them.

Course Fees


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Frequently Asked Questions (FAQs)

Q 1. What’ll be a good thing to ca create a data analytics solution?

It aims to improvise data integration and improves the productivity process. Having an end-to-end solution always will be a good thing to understand the speed, flexibility, reliability, and security process.

Q 2. How to analyze the data to create visualization?

This process has the potential to grow while landscaping the business. Data visualization is good to ca create a visual representation to understand the patterns to build a relationship. That way, you will understand the unique patterns of the data. You will learn every small aspect in these data analytics courses in New Jersey. 

Q 3. How to automate the analytics process?

The analyzing process is mostly done through a cloud server. It will depend on machine learning and artificial intelligence to run the modern analytics solution. The data will be helpful to learn and analyze all the predicated processes to reduce human-made errors. 

Final thoughts on the top digital marketing courses in New Jersey

You can develop any single skill to understand data management capabilities. understanding the compatible environment is most essentials to figuring out the issues. The integrated part is the most valuable to generate hybrid informative decisions to provide end-to-end analytics solutions. Every platform has its hybrid environments that can be easily accessible to gain insight view. It mostly focuses on the helpful informative process to uncover hidden patterns to streamline solutions. The valuable process can enhance the decision-making process to add the data workflow. You will learn to optimize the skills in data analytics courses in New Jersey. 

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