Do you have an affinity for numbers? Does data & statistics fantasize you? Are you curious by nature? Are you looking for a career transition to data analytics? Do you want to make giga-bucks? Are you planning to pursue higher studies in the USA? If the answer to all these questions is YES then this article is for you! We insist you spend some time reading it and fetch all the required information related to Data Analytics Courses In the USA as this comprehensive guide will accelerate your journey in finding Data Analytics Courses In the USA and pave the way to pursue your dream career.
Before we move to the list of best data analytics courses in the USA let’s first understand what is Data Analytics.
What is Data Analytics?
Data analytics is a field of science which deals with the collection of raw data, processing, deriving meaningful insights and finally effectively communicating the output to make better decisions and help businesses grow and expand. With the help of data analytics, proactive decisions can be taken in business.
Thus, data analytics is a multidisciplinary field which uses programming language, statistics, probability, machine learning, and econometrics to fetch, process and produce outcomes. Data analytics is of four types: Descriptive (What happened), Diagnostic (Why it happened), Predictive (What will happen in future) and Prescriptive (How to act).
As we live in the ‘Information age’ large chunks of data are being produced daily. Precisely, it amounts to 1.7 MB of data per second per person. This calls for an urgent need to address this largely produced data. This is where data analysts come into action. The USA has always been a foremost destination for higher studies because of their innovative approach towards education, pioneer infrastructure and ample opportunities that it offers.
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Top 10 Data Analytics Courses In the USA With Placements
1. IIM SKILLS:
IIM SKILLS-headquartered in New Delhi, India is a developing Ed-Tech company. They offer a world-class online data analytics course crafted by proficient and skilled faculty for beginners and experts as well. They extend a professional certificate of 6 months along with internships and placements with renowned leading tech companies.
Having an existence in 23 Asian cities together with Singapore and Dubai; IIM SKILLS provides services in Marketing, Finance, Data & various other educational domains. Their Data Analytics Courses In the USA are highly rated in the industry. It was started with the mission to provide world-class affordable education to all the masses via online and self-paced learning programs.
Course Details:
Name: Data Analytics Course
Duration: 6 Months Of Training + 2 Months Internship (optional)
EMI: Interest Free
Certification: Yes
Fees: 599.88 United States Dollars + Taxes
Why Choose IIM SKILLS:
Ranked No.1 program by Analytics Insights
The Statesman
Times Now
- Recognized by the Govt. of India (GOI), MSME*
- 100% placement guarantee
- 24×7 assistance for doubts & queries
- Online guided course
- 6 months program
- Includes 16+ Live Projects
10+ Case studies
- 500+ hiring partners
- Assured internship with Accenture, TCS, PWC, Quantium
- Weekly assignments for real-time knowledge check
- EMI option available
- All the latest tools covered in the curriculum to give industry-oriented practical experience
- Free Demo class available
- Lifetime access to training material & class recordings
- 100% satisfaction/refund guarantee, if discontent after 1st class
- Significant discount of 10% on a group of 3 or more admissions
- Both Weekday / Weekend batches are available
- Provides GOI-approved certification
- Assists in the preparation of certification exams offered via Google and Microsoft
* MSME (Ministry of Micro, Small and Medium Enterprises)
Tools Covered in their Data Analytics Courses In the USA:
- Python
- Tableau
- Excel
- R
- Alteryx
- Power BI
- SQL
Highlights of their Data Analytics Courses In the USA:
| Module Name | Important Topic |
| Data Analytics using Advanced Excel | Introduction to Data Handling |
| Data Visualization in Excel | |
| Data Manipulation Using Functions | |
| Data Analysis and Reporting | |
| Overview of Dashboards | |
| Create dashboards in Excel- Using Pivot controls | |
| Data Analytics using VBA (Visual Basic Application) | Introducing VBA |
| Key Components of Programming Language | |
| How VBA Works with Excel | |
| Programming Constructs in VBA | |
| Functions & Procedures in VBA- Modularizing your programs | |
| Objects & Memory Management in VBA | |
| Communicating with Your Users | |
| Others | |
| Data Analytics using SQL | Basics RDBMS Concepts |
| Utilizing the Object Explorer | |
| Data Based Objects Creation (DDL Commands) | |
| Data Manipulation (DML Commands) | |
| SQL Server Reporting services | |
| SQL Server Integration services | |
| Others | |
| Data Analytics using Power BI | Introducing Power BI |
| Data Preparation and Modeling | |
| Keep and Remove rows, Add Remove and Go To Columns | |
| Data Analysis Expressions (DAX) | |
| Reports Development (Visuals in Power BI) | |
| 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 | |
| Basic Visualization Tools | |
| Visualizing Geospatial Data | |
| Data Visualization with Python | |
| Advanced Visualization Tools | |
| Statistical Methods & Hypothesis Testing | |
| Data Analytics using Tableau | Getting Started |
| Data Handling & Summaries | |
| Building Advanced Reports /Maps | |
| Table Calculations | |
| Calculated Field | |
| R For Data Science | Data Importing/Exporting |
| Data Manipulation | |
| Data Analysis | |
| Data Visualization with R | |
| Using R with Databases | |
| Introduction to Statistics | |
| Linear Regression: Solving Regression Problems | |
| Testing | |
| Data Analytics using Alteryx | Overview of the Alteryx course and the fundamental concepts |
| Using the select tool to rename fields, Change the data type | |
| Understanding the User Environment and Alteryx Settings | |
| Remove from data set | |
| Understanding Alteryx designer | |
| Connect to data sources | |
| Alteryx designer interface | |
| Set data field types | |
| User and workflow settings | |
| Remove and rename fields | |
| Filtering Data/Data Processing | |
| Blending/Joining Data from Different Sources | |
| Filtering using String Data | |
| Find a customer with 10 or more transactions | |
| Input Data, Dynamic Rename, Text to columns, Transpose | |
| Identify common data fields | |
| See how all records fit the filter | |
| Data cleansing | |
| Impute values | |
| Random sample |
Other Significant Courses offered by IIM SKILLS
- Content Writing Master Course
- Technical Writing Master Course
- Advanced Search Engine Optimization Course
- Digital Marketing Master Course
- Certified Financial Modeling Master Course
- Certified Investment Banking Master Course
- Online GST Certification Course
- Business Accounting & Taxation Course
- Artificial Intelligence-Based Digital Marketing Course
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2. Columbia University:
‘Columbia University’ or ‘Columbia University in the city of New York’, formerly known as ‘King’s College’ or ‘Columbia College’ is a dream place for many aspirants who want to pursue their higher studies abroad…. Want to know why?? Well, the reasons are numerous:
- It is one of the most prestigious universities in the world.
- It is considered among one of the eight IVY League Schools well known for its excellent academic standards and prestige.
- It is the oldest institution of higher studies in New York and the 5th oldest institution in the USA.
However, the road to Columbia’s campus is not easy, as the university’s acceptance rate is a mere 3.9%.
Columbia University runs some courses including Art history, Anthropology, Engineering, Medical devices, Medical Sciences, Environmental Health Sciences, General Medicine, French & Romance, Marketing, Management, Psychology and many more. However, it is one of the popular and widely acclaimed destinations to pursue Data Analytics Courses In the USA. It offers a ‘Masters of Science in Applied Analytics’.
This program can be done either as a ‘Full-timecourse’ or as a ‘Part-time course ’ in ‘3 consecutive terms’ or ‘6 consecutive terms’ respectively through ‘Online format’ or ‘On-campus format’. This course is designed not only to create professionals who can deliver valuable insights into the data and help the business flourish but also who can exhibit remarkable soft skills such as leadership, effective communication, presentation and management.
Highlights of their Data Analytics Courses In the USA:
| Term Number | Module Name |
| Term 1 | Applied Analytics in the Organizational Context |
| Applied Analytics Frameworks and Methods I | |
| Research Design | |
| Storytelling with data | |
| Term 2 | Strategy and Analytics |
| Applied Analytics Frameworks and Methods II | |
| Managing data | |
| Elective^ | |
| Term 3 | Analytics and Leading Change |
| Capstone | |
| Elective^ | |
| Elective^ | |
| Internship in Industry | Students may complete internship as an elective |
Electives vary from online to On-campus course
Let’s find below the Course details:
Name of the course: Masters of Science in Applied Analytics (Full Time/Part Time)
Duration: 3 consecutive terms
Mode of payment: Cash/Cheque/Net-Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $2648 + Other charges (For Summer 2024) and $2536 + Other charges (For Spring 2024)
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3. Carnegie Mellon University:
Another highly renowned institution to pursue Data Analytics Courses In the USA. Established in 1900 by Andrew Carnegie Carnegie Technical Schools, is a private research university located in Pittsburgh, Pennsylvania.
Upon amalgamation with ‘The Mellon Institute of Industrial Research’ in 1967, it officially became ‘Carnegie Mellon University’. The university has 7 colleges including of College of Engineering, The School of Computer Science (together with the Machine Learning and Robotics department) and the Tepper School of Business.
However, the university has an acceptance rate of 11%, which varies from one college to another college. The university has several accolades associated with it:
- It is classified as R1: Doctoral universities for very high research activity
- Alumni and Faculty include: 20 Nobel Prize laureates
- 13 Turing award winners
- 142 Ammy award winners
- 52 Tony Award winners
- 13 Academy awards
Though there are several popular courses to pursue at Carnegie Mellon its Data Analytics Courses In the USA from the Mellon College of Science stand exceptional. Mellon College of Science together with the Department of Statistics and the Pittsburgh Supercomputing Center offers a one-year data analytics program (Fall intake) called MS in ‘Data Analytics for Science’ (MS-DAS). It is specifically designed for students who have formal education in fundamental sciences like Physics, Chemistry, Biology, Mathematics or other related fields and is popularly referred to as among the top 10 Data Analytics Courses In the USA.
The data analytics program aims to impart further education to the students and expose them to a new facet of data science using machine learning, artificial intelligence and statistics.
Carnegie Mellon students are privileged to excel in their professional careers in data analytics by learning new-age technology such as programming languages, and mathematical and computational modelling from the faculty of phenomenal and passionate professors.
The key advantage of pursuing a data analytics or MS-DAS program from Carnegie Mellon is that students get to do a capstone project with industry partners for a year. This provides students with an experience of real-world problems and how to find solutions & derive valuable insights into the data and help businesses expand.
Moreover, to make students professionally ready for a data analytics career, they are additionally provided with 6-week training for commanding over soft skills in the spring semester. Post-course completion students can build their careers in academics, commercial research, public services and many more.
Highlights of their Data Analytics Courses In the USA:
| Term Number | Module Name |
| Mini I (August-October) | Linear Algebra for Data Science#
#Optional subject to choose |
| Mini II (October-December) | Communication Skills and Professional Development |
| Full Semester (August-December) | Computational Linear Algebra |
| Computational Modeling, Statistical Analysis and Machine Learning in Science | |
| Large-scale computing in Data Science | |
| Essentials of Statistical Practice for Graduate Students/Applied Linear Models | |
| Internship in Industry | Students may complete an internship as an elective |
| Mini III (January-March) | Information Visualization for Scientists |
| Full Semester (January-May) | Neural Networks and Deep Learning in Science+ Elective course*** |
| MS-DAS Capstone Project Course |
***Compulsory course. Electives can be chosen as per your interest from the given options in the University’s curriculum.
Let’s find below the Course details:
Name of the course: MS in ‘Data Analytics for Science’ (MS-DAS)
Duration: 1 year
Mode of payment: Cash/Cheque/Net-Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $48775
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4. University of San Diego (USD):
It is a well-known private catholic research university located in San Diego, California. Initially, it started as two independent separate units namely: San Diego College for Women (1949) and San Diego University-College for Men and School of Law which later in 1972 amalgamated and formed the University of San Diego.
The university runs 89 programs including graduate and undergraduate and is classified as “R2: Doctoral Universities-High Research Activity”. Recently, USD completed a beautiful 75 years of journey imparting quality education; thereby empowering several women & men and helping them to excel in their professional journey.
USD offers several widely acclaimed programs to enhance professional careers. One such program for Data Analytics is “Masters of Science in Business Analytics” (MSBA). The University provides one of the best Data Analytics Courses In the USA. Passionate and driven faculty not only provides you with excellent education but also mentors you individually to develop soft skills and aids in resume preparation and mock interviews.
Key Features of USD:
- STEM-certified program approach to learning helps to build a technical understanding of the subject as well as develop a critical thinking, problem problem-solving approach and enhances creativity
- 10-month full-time program
- On-campus program-Fall batch (only)
- Placements in Fortune 500 companies
- Gain expertise from Real-world projects
- Capstone project
- Knowledge of in-demand tools like SQL, SPSS, R, Python, Tableau, Power BI
- Additional focus on developing effective communication skills, presentation and other interpersonal skills
Highlights of their Data Analytics Courses In the USA:
| Subject Code | Subject Name |
| MSBA 500 | Introduction to Data Analytics and Business Concepts |
| MSBA 501 | Applied Statistics |
| MSBA 502 | Analytics Programming I |
| MSBA 503 | Analytics Programming II |
| MSBA 504 | Data Management |
| MSBA 506 | Prescriptive Analytics |
| MSBA 505 | Interactive Data Visualization |
| MSBA 507 | Data for Social Good |
| MSBA 510 | International Consulting Project |
| MSBA 511 | Data Mining for Business Analytics |
| MSBA 512 | Capstone Project |
| From below mentioned subjects choose any 3 (Applicable for the Spring semester) | |
| MSBA 530 | Accounting Analytics |
| MSBA 531 | Forecasting/ Applied Time Series Analysis |
| MSBA 532 | Financial Analytics |
| MSBA 533 | Digitalization and Agile Decision-Making |
| MSBA 534 | Marketing Analytics |
| MSBA 535 | Operations & Supply Chain Analytics |
| MSBA 594 | Special Topics |
| MSBA 598 | Internship |
USD also offers Dual Degree (MBS/MSBA) (MSBA/MSF) and Combined courses (BBS/MSBA) to build Deeper understanding of the subject.
Let’s Find Below the Course Details:
Name of the course: Masters of Science in Business Analytics (MSBA)
Duration: 10 months
Mode of payment: Cash/Cheque/Net-Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $57,420
University of San Diego is 100 percent Yellow Ribbon school and approximately 78 percent of the students receive financial support.
Yellow Ribbon Schools are institutions that in association with the Department of Veteran Affairs provide financial help to military-affiliated students.
Money management becomes very important as the expenses of pursuing a data analytics course in the USA are high. However, USD understands the fact and is upfront to help all the students who have any doubts regarding the course. USD has an admission consultation team which can be accessed via Zoom call, phone call or e-mail.
5. The Knowledge Academy:
Established in 2009, it has headquarters in Berkshire, United Kingdom and is an internationally recognised eminent provider of Data Analytics Courses In the USA. They offer services in various realms such as IT, Business Management, and Project Management training independently or through firms for professional advancement.
Their advanced data analytics course is designed in a way to provide real-time industry experience. Focused on the ways to scrutinize raw data and interpret results to find the latest trends and consumer mode of operation which in turn helps businesses make better decisions and expand eventually.
They share expertise in providing Data Analytics Courses In the USA and have an expert team owning 15 years of experience in the respective field.
Why Choose ‘The Knowledge Academy’:
- Flexible course i.e. can be accessed via Classroom training/ Onsite training/ Online Self-paced/online instructor-led training
- Assured less price compared to other similar courses
- Proficient and skilled faculty
- The institute holds diverse experience as its courses run in 490+ locations globally
- Emphasize making students understand the importance of information governance and the ethical aspects related to it
- 32 hours course with 24×7 hours assistance
- Focus on case studies
- Weekly assessments to check topic-wise understanding
Tools Covered:
- R programming
- SAS
- Python
- Excel
- Apache spark
- Splunk
- Tableau
- Knime
Highlights:
| Module No. | Module Name |
| Domain 1 | Data Analytics |
| Module 1 | Introduction to Data Analytics |
| Module 2 | Introduction to Statistical Analytics |
| Module 3 | Data Wrangling with SQL |
| Module 4 | Presto |
| Module 5 | Feature Engineering |
| Domain 2 | Business Analytics with Excel |
| Module 6 | Introduction to Data Analytics with MS Excel |
| Module 7 | Cleaning Data with Text Functions |
| Module 8 | Sorting and Filtering |
| Module 9 | Exploring Lookup Functions |
| Module 10 | Introduction to Power Pivot and Formula Editing |
| Module 11 | DAX Variables and Formatting |
| Module 12 | Introduction to Power Map |
| Module 13 | Design a dashboard using a Data Model |
| Domain 3 | Programming Basics and Data Analytics with Python |
| Module 14 | Python for Data Analysis-NumPy |
| Module 15 | Python for Data Analysis-Pandas |
| Module 16 | Python for Data Visualization -Matplotlib |
| Module 17 | Python for Data Visualization-Seaborn |
| Domain 4 | Tableau Training |
| Module 18 | Get Started |
| Module 19 | Data Sources |
| Module 20 | Worksheets |
| Module 21 | Calculations |
| Module 22 | Sort and Filters |
| Module 23 | Tableau Charts |
Let’s Find Below the Course details:
Name of the course: Advanced Data Analytics Master Course
Duration: 3 months
Mode of payment: Cash/Cheque/Net-Banking
EMI Option: Yes, Interest-free
Internship: Yes
Certification: Yes
Fees: $601.44
6. University of Minnesota:
It is a public land grant university located in the twin cities of Minneapolis and Saint Paul, Minnesota, United States. It is the primary institution of the University of Minnesota System and has 19 schools, colleges and other academic units. Earlier it was known as the “University of Minnesota Twin Cities”.
Key Features of the University of Minnesota:
- Classified as R1: Doctoral Universities- Very High Research Activity
- Part of the Association of American Universities
- Ivy league university
- Oldest & largest in the system of the University of Minnesota
- 9th largest campus in the USA
- Ranked 22nd among all American Universities for research and development as per National Science Foundation
- 90 Olympic medals earned by the students
University of Minnesota College of Continuing and Professional Studies along with edX offers Data Visualization and Data Analytics course. Their data Analytics Courses are highly rated in the USA. Over time, edX has collaborated with several educational institutions and other organisations and has imparted ingenious and performance-driven training to over 45 million people around the globe.
Highlights:
- 24 weeks program
- Live-Online classes
- 3-times per week
- 9-hour classes per week & 20+ hours of classes for project work
- Pliable work schedule
- This can be done part-time if you are working full-time or a college student
- Real-world projects to gain thorough knowledge of real-world problems and how to find solutions for them in stipulated time
- A passionate, driven and skilled team of teachers
- Engaging & Interactive sessions
- Knowledge of tools like Intermediate Excel, Python and R programming, JavaScript, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub and many more
- Placements in Fortune 500 companies
- MCQ and problem-solving assignments to check critical thinking, creativity and knowledge
Let’s Explore the Course of Studies to Be Covered:
| Topics | Description |
| Intermediate Excel | Pivot Tables |
| VBA Scripting | |
| Fundamental Statistics | Modeling |
| Forecasting | |
| Python Programming | Python 3 |
| NumPy | |
| SciPy | |
| Pandas | |
| Matplotlib | |
| API Interactions | |
| Databases | PostgreSQL/pgAdmin |
| MongoDB | |
| ETL | |
| Front End Web Visualization | HTML |
| CSS | |
| Bootstrap | |
| Dashboarding | |
| JavaScript Charting | |
| Geomapping with Leaflet.js | |
| Business Intelligence Software | Tableau |
| Advanced Topics | Big Data Analytics with Hadoop |
| Unsupervised Machine Learning | |
| Supervised Machine Learning | |
| Deep Learning | |
| Data Ethics |
Let’s find below the Course details:
Name of the course: Data Visualization and Data Analytics course
Duration: 6 months
Mode of payment: Cash/Cheque/Net-Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $11,245
7. University of Pittsburgh:
It’s a public state-related research university in Pittsburgh, Pennsylvania. It is also popularly called as Pitt. Pitt started as Pittsburgh Academy in 1787 and later in 1819 when it was granted university status it became Western University of Pennsylvania.
In 1966 university gained public status upon amalgamation with ‘The Commonwealth System of Higher Education’. Pitt runs seventeen undergraduate and graduate schools and colleges. Pitts’ Data Analytics Courses are highly rated in the USA.
Key Features of the University of Pittsburgh:
- An integral part of the Association of American Universities
- Classifies in the group of R1: Doctoral Universities-Very high Research Activity
- Home to several breakthrough inventions like the Polio vaccine
- MSCHE accreditation
With the increase in data generated over time, the demand for evaluating data has also increased. Pitt offers ‘Big Data Analytics’ and ‘Data Analytics Specialization’ courses to create skilled professionals who have the expertise to study numbers and provide meaningful insights into the data.
Let’s Explore Subjects to Be Covered in ‘Big Data Analytics’:
| Subject Code | Subject Name |
| INFSCI 2140 | Information Storage and Retrieval |
| INFSCI 2160 | Data Mining |
| INFSCI 2595 | Machine Learning |
| Electives to be selected from below options: | |
| INFSCI 2125 | Network Science and Analysis |
| INFSCI 2410 | Introduction to Neural Networks |
| INFSCI 2440 | Artificial Intelligence |
| INFSCI 2750 | Cloud Computing |
| INFSCI 2801 | Geospatial Information Systems (GIS) |
| INFSCI 2809 | Spatial Data Analysis |
Let’s find below the Course details:
Name of the course: Big Data Analytics Concentration
Duration: 6 months
Mode of payment: Cash/Cheque/Net- Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $15,000
Let’s Explore Subjects to be Covered in ‘Data Analytics Specialization’:
| Subject Code | Subject Name |
| CS 1671 | Human Language Technologies |
| CS 1674 | Introduction to Computer Vision |
| INFSCI 1068 | Geospatial Information system (GIS) |
| INFSCI 1520 | Information Visualization |
| INFSCI 1530 | Data Mining |
| INFSCI 1560 | Information Storage and Retrieval |
| MATH 1080 | Numerical math: Linear Algebra |
| STAT 1201 | Applied Nonparametric Statistics |
| STAT 1211 | Applied Categorical Data Analysis |
| STAT 1231 | Applied Experimental Design |
| STAT 1311 | Applied Multivariate Analysis |
| STAT 1321 | Applied Time Series |
Let’s Find Below the Course Details:
Name of the course: Data Analytics Specialization
Duration: 1 year (offline)/ 3 years (On campus)
Mode of payment: Cash/Cheque/Net- Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $32984
8. University of Michigan:
Started in 1817-is a public research university located in Ann Arbor, Michigan. Also, called simply Michigan. It has 19 colleges and provides undergraduate and graduate degrees in over 250 subjects.
Key Features of the University of Michigan:
- Earliest institution of higher education in the USA
- Oldest research institution in the USA
- Founder of “Association of American Universities”
- Classified among R1: Doctoral Universities-Very high Research Activity
- HLC accreditation
- 3rd most American university to spend on R&D as per NSF
- Michigan students have won over 188 Olympic medals
- Michigan alumni have achieved several prestigious positions in various fields
Data Analytics Courses are in big demand. Michigan offers a ‘Big Data Analytics’ course which not only prepares the students to draw valuable insights into the data but also communicates it effectively starting from data collection, processing, analysing, retrieval, mining and visualization.
Let’s Explore the Subjects to Be Covered in ‘Big Data Analytics’ Course:
| Subject Code | Subject Name |
| SI 501 | Contextual Inquiry and Consulting Foundations |
| SI 504 | Servers, The Shell and Git |
| SI 506 | Programming I |
| SI 507 | Intermediate Programming |
| SI 544 | Introduction to Statistics and Data Analysis |
| SI 568 | Intro to Applied Data Science |
| SI 602 | Math Foundations |
| SI 618 | Data Manipulation and Analysis |
Let’s Find Below the Course details:
Name of the course: Big Data Analytics
Duration: 2 years
Mode of payment: Cash/Cheque/Net- Banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $13596 (For Michigan residents) and $27,360 (For Non-Michigan residents)
9. George Mason University (GMU):
GMU, a public research university located in Virginia, Washington D.C.- was established in 1949 as a branch of the University of Virginia. Later in 1972, it became an autonomous university and is now classified as R1: Doctoral Universities-Very High Research Activity. The passionate and skilled team of professors runs the university and two of the professors have been granted the ‘Nobel Memorial Prize in Economics’.
GMU offers remarkable Data Analytics Courses In the USA. The MS program in Data Analytics known as ‘Data Analytics Engineering, MS is highly rated in the industry. The program aims to introduce students to the programs and technologies to derive valuable inputs from large chunks of data and communicate it effectively. It can be done in Online Mode or On-Campus.
Let’s Explore Subjects to Be Covered in ‘Data Analytics Engineering’ Course:
| S. No. | Subject Name |
| 1. | Data Mining |
| 2. | Information Technology |
| 3. | Statistical Models |
| 4. | Predictive Analysis |
| 5. | Optimization |
| 6. | Risk Analysis |
| 7. | Data Visualization |
Let’s Find Below the Course details:
Name of the course: MS in Data Analytics Engineering
Duration: 2 years, Online/On-campus
Mode of payment: Cash/Cheque/Net-banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $46,763/year
10. Fordham University:
Fordham University was established in 1841- is a private catholic research university located in New York City. The university offers undergraduate and graduate programmes in over 60 subjects. Their data analytics course in the USA is not only crafted for experts but also beginners.
Key Features of Fordham University:
- Oldest Catholic institution of higher education
- The third oldest university in New York.
- Classified among R2: Doctoral university – High Research Activity
- Alumni and faculty include renowned and prestigious people like Donald Trump, U.S senators, Governor and ambassadors
Fordham University offers ‘Masters of Science (M.S) in Data Analytics- coursework of 30 credits which can be completed in 1-2 years. Their Data Analytics Course is well suited for working professionals as classes happen on weekends or in the evening.
Course Includes:
5 – Core courses
4 – Elective courses
1 – Capstone Project
Let’s Find Below the Course Details:
Name of the course: MS in Data Analytics
Duration: 1-2 years
Mode of payment: Cash/Cheque/Net-banking
EMI Option: Yes
Internship: Yes
Certification: Yes
Fees: $49,710/year
Frequently Asked Questions (FAQ’s)
Q. What is the cost of studying in the USA?
The USA is the foremost choice for every student to pursue their higher studies. The cost of studying in the USA varies from one educational institution to another as credits to complete the chosen programme vary. But yes studying in the USA. is a premium affair and one needs to plan effectively. Always do a thorough investigation before finalising the Institute for Data Analytics Courses In the USA.
Q. Is it worth pursuing a course in data analytics?
Data analytics is a good career choice for students or working professionals who are looking for a career transition. It is a blossoming field and provides abundant job opportunities as there is a need to address large chunks of data being produced on a day-to-day basis. Programming tools, statistics, mathematics, machine learning, data mining, and data visualization are all used to derive meaningful insights into the raw data.
Q. How much money will one make after completing the course?
Pursuing a data analyst course in the USA will be a costly affair but the return on this investment (ROI) will be great. The average salary of a data analyst in the USA is $90,728.
Q. Is the USA safe for international students?
Yes, the USA is safe for international students. The crime rate has subsequently decreased over the past 25 years.
Q. What factors to keep in mind while choosing a data analytics course?
Various factors to keep in mind while looking for a data analytics course: Accreditation, Comprehensive curriculum covering in-demand programming tools & statistics, Expert faculty, Certification, Internship opportunities, Final project, Placement opportunities, University reputation, Support services, Cost of program, Alumni success.
Conclusion
If you are passionate about data analytics & pursuing your studies in the USA. Enthusiastic and eager enough that you chose to invest your time to grab every bit of information related to data analytics. So, what are you waiting for…. Now, it’s time to work hard to bring your dream of becoming a Data Analyst into reality and grab seats in one of the Top 10 Data Analytics Courses In the USA.