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Upgrad vs Coursera, Data Analytics Course Review… What to Choose?

upgrad vs Coursera, Data Analytics Course Review… What to Choose?

Upgrad vs Coursera, Data Analytics Course Review

Deciding where to learn Data Analytics, on UpGrad or Coursera, can be quite a task. Both of the platforms are widely used in the sphere of e-learning, and the peculiarities are regarding the courses’ structures, fees, main features, and students’ opinions.

Also, UpGrad covers real assignments applicable to the learners’ workplaces besides offering an extensive career support that includes placements. On the other hand, Coursera provides relevant and detailed courses in Data Analytics that have lifetime access to the material and contain a lot of practical activity-based assignments.

To assist you in choosing the best platform to enroll in a Data Analytics course, you will read facts on the courses’ offer, fees, significant features, as well as students’ opinions on UpGrad and Coursera.

Table of Contents

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Upgrad Data Analytics Course: Courses, Key Highlights, Syllabus, Placements, Fees, Reviews

Upgrad Data Analytics Course

When considering the Data Analytics Course offered by UpGrad it’s important to note that the course duration is longer and the fees are relatively higher compared to platforms. However UpGrad stands out because of its features, such, as Post Graduate Programs and partnerships with known universities globally. These partnerships guarantee a strong curriculum focused on improving job readiness and offering relevance.

The Data Analytics Course at UpGrad is one part of a range of programs that also cover areas, like Data Science, Artificial Intelligence, Machine Learning and more. Whether you aim to advance your career pursue education or undergo training UpGrad provides programs customized to cater to different educational needs. Students benefit from industry experts who actively participate in teaching ensuring an engaging learning journey.

Upgrad Data Analytics Course Key Highlights

AttributeDetails
Industry-Relevant CurriculumDesigned in collaboration with top universities and industry leaders, ensuring up-to-date and applicable knowledge.
Hands-On LearningIncludes real-world case studies and practical assignments to bridge theoretical knowledge with practical application.
Flexible LearningOffers options for online classes and self-paced learning, suitable for working professionals with varying schedules.
Mentorship and SupportAccess to industry experts for personalized guidance and feedback, enhancing learning outcomes.
Placement AssistanceProvides support and resources to help learners secure employment with top companies, including job portals and placement drives.
Collaborations with Top UniversitiesPartnerships with renowned institutions like Liverpool John Moores University and IIIT Bangalore to provide globally recognized credentials.
Real-World ProjectsEngages learners in industry-relevant projects and case studies to develop practical skills and build a strong portfolio.

Upgrad Data Analytics Course Syllabus

ProgramDurationKey TopicsProjects
MS in Data Science (Liverpool John Moores University)18 Months1. Data Collection
2. Data Cleansing
3. Data Transformation
4. Data Modeling
5. Machine Learning
6. Big Data Technologies
1. Real-world case studies
2. Practical assignments
Post Graduate Programme in Data Science & AI (IIIT Bangalore)12 Months1. Python Programming
2. Data Analysis Techniques
3. Machine Learning
4. Artificial Intelligence
1. Industry-relevant projects
2. Exclusive job portal access
Data Science Bootcamp with AI (UpGrad)6 Months1. Data Science Fundamentals
2. AI
3. Machine Learning
1. Practical assignments
2. Projects with placement assistance

Upgrad Data Analytics Course Placements

  • Average Salary Hike: 57%
  • Highest Salary Offered: ₹1.23 Cr
  • Career Transitions: 6000+ successful transitions
  • Hiring Partners: 300+ including Tech Mahindra, Amazon, Tata, Wipro, Microsoft, TCS, Infosys, Flipkart, IBM, HDFC Bank

Upgrad Data Analytics Course Fees

The fees for UpGrad’s data analytics courses depend on the specific program and university. Generally, the cost is justified by the detailed curriculum, mentorship, and placement support. For exact fee details, check the UpGrad website or contact their admissions team.

Upgrad Data Analytics Course Reviews

Abhinay Bandaru (Product Analyst, Head Infotech): UpGrad’s mentors were essential in clarifying doubts and providing valuable guidance.

Bhagvathi (Data Analyst, Kantar): The course was well-structured and helped her grasp new concepts easily. UpGrad’s placement drive was instrumental in securing a job in an MNC.

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Moulik Srivastava (Technology Project Manager, Victory Farms): The mentorship from industry veterans and hands-on projects made the program exceptionally beneficial.

Coursera Data Analytics Course: Courses, Key Highlights, Syllabus, Placements, Fees, Reviews

Coursera Data Analytics Course

One has to focus on several important aspects regarding the Google Data Analytics Professional Certificate; these aspects are the aim of the certificate, the possibility to deepen the knowledge of data analytics, the openness of the learning process, and the cost. This program can be easily distinguished from all other educational platforms for the following reasons: collaboration with Google and offering students a curriculum developed by professionals in the given field with the aim to prepare students for employment. The Google Data Analytics Professional Certificate offers users numerous advantages and functionalities that have made this product suitable for individuals who want to upgrade their careers in data analytics. It is one of the many certificates that are provided under Google’s Career Certificates which includes computer science, project management and UX design among others. Whether the aim is to switch to another profession, obtain new knowledge, or gain more experience within the current occupation, this certificate covers different learning processes. The education that the students is able to receive include one that is supplemented by employees of Google who are actively participating in the teaching learning process. The real life aspects of the projects alongside the projects that are undertaken in the course of the program helps to relate the students to the job market and provide them with direction on how to navigate through the markets.

Coursera Data Analytics Course Key Highlights

Key HighlightDetails
Course DurationApproximately 6 months (10 hours per week)
Learning FormatOnline, self-paced
Curriculum Developed ByGoogle
Core TopicsData cleaning, analysis, visualization, spreadsheets, SQL, R programming, Tableau
Hands-On ProjectsIncludes real-world case studies and practical labs
Career SupportResume reviews, interview preparation, career resources, access to Google’s Employer Consortium
CertificationProfessional certificate from Google
Skills AcquiredData cleaning, data analysis, data visualization, SQL, R programming, portfolio development
Average Rating4.8 out of 5
Monthly CostApproximately $92 per month
Job Roles TargetedData Analyst, Junior Data Analyst, Associate Data Analyst

Coursera Data Analytics Course Syllabus

CourseDurationKey Topics
Course 1: Foundations: Data, Data, Everywhere18 hoursIntroduction to data analytics, data lifecycle, key terminology, role of a data analyst, overview of tools
Course 2: Ask Questions to Make Data-Driven Decisions21 hoursFormulating data questions, effective exploration, defining data requirements, KPIs, data ethics
Course 3: Prepare Data for Exploration25 hoursData collection methods, formats and types, cleaning and structuring data, integration, transformation, tools
Course 4: Process Data from Dirty to Clean26 hoursData cleaning techniques, handling missing data, validation, formatting, normalization, quality assessment
Course 5: Analyze Data to Answer Questions32 hoursExploratory data analysis (EDA), statistical methods, SQL querying, advanced Excel functions, interpreting findings
Course 6: Share Data Through the Art of Visualization25 hoursPrinciples of visualization, creating charts/graphs, using Tableau, designing dashboards, presenting insights
Course 7: Data Analysis with R Programming34 hoursIntroduction to R, data manipulation and analysis, creating visualizations, statistical analysis, R Markdown
Course 8: Google Data Analytics Capstone: Complete a Case Study13 hoursReal-world project application, developing case study, portfolio-ready project, presenting findings, professional feedback

Coursera Data Analytics Course Placements

  • Average salary increase: Over $92,000 per year
  • Job roles: Data Analyst, Junior Data Analyst, Associate Data Analyst 75% of graduates to get new jobs or promotions
  • Connection to companies like T-Mobile, Wells Fargo, and AdobeCareer to help with resumes, interviews, and jobs
  • Providing help with job applications and interviews

Coursera Data Analytics Course Fees

Coursera Data Analytics Course Reviews

Abhinay Bandaru: The mentors were really helpful and answered all my questions, which made learning easier.

Bhagvathi: The course was well-organized, and I got a job at a big company thanks to the placement drive.

Moulik Srivastava: Learning from industry experts and working on real projects made the course very valuable.

UpGrad vs. Coursera: Data Analytics Course Differences

FeatureUpGradCoursera
Course FormatOnline, with live sessions and recorded contentOnline, self-paced
Course Length3 to 12 months, depending on the programGenerally 6 to 12 months, depending on the course
Learning ApproachTheoretical knowledge combined with practical, project-based learningMix of video lectures, quizzes, and peer-graded assignments
Collaborating InstitutionsLiverpool John Moores University, IIIT BangaloreUniversity of Michigan, Duke University, Google
Core TopicsData Collection, EDA, Statistical Analysis, Data Visualization, SQL, Predictive Modeling, Machine LearningData Cleaning, Analysis, Visualization, SQL, R Programming, Tableau
Capstone ProjectsIncludes industry-relevant projects and case studiesTypically includes real-world projects related to the course
MentorshipPersonalized guidance from industry expertsVaries by course; some offer community support and peer reviews
Career ServicesDedicated placement assistance, job portals, resume reviews, and interview preparationResume reviews, interview preparation, and career coaching in specific courses
Placement StatisticsHigh salary hikes; connections with major companies like Amazon, Microsoft, and IBMVaries; some courses offer access to job boards and company recruitment
FeesGenerally higher; varies by program and partnering universityTypically lower, around $39 to $92 per month; total cost depends on course duration
CertificationProfessional certificates, often in collaboration with universitiesProfessional certificates from top universities or companies like Google
ProsStrong industry connections, extensive career support, and mentorshipFlexible learning, affordable, and access to courses from leading institutions
ConsHigher cost, longer durationVariable mentorship quality, less intensive career support

Conclusion

Choosing between UpGrad and Coursera for data analytics courses is all about what you need and want:

  • UpGrad is a good fit for students looking for an organized course, with many live lessons, direct access to expert help and strong job assistance. It’s a preferred option if you can spare more money and time to secure better career support and networks.
  • Coursera on the other hand suits those who prefer learning at their own pace but are budget conscious. They offer self-paced courses in partnership with leading universities and companies. Even though it may not provide as much personal support on career information, it has affordable certification options.

Thus, if you would like a well-supported program that can be paid for, settle for UpGrad. And should flexibility plus reduced rates be your priorities then choose Coursera.

For further clarification and fee concession, you can contact

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ALSO READ: Mesa School of Business vs Masters Union, Which One To Choose?

Frequently Asked Questions

1. What’s the main difference between UpGrad and Coursera Data Analytics courses?

Answer: UpGrad offers a structured learning experience with live classes, hands-on projects, and strong career support. In contrast, Coursera provides flexible, self-paced courses with video lectures and assignments from top universities.

2. How long does it take to complete the courses?

Answer: UpGrad courses typically take between 3 to 12 months to complete, while Coursera courses usually last from 6 to 12 months.

3. Do I need any prior knowledge before starting?

Answer: UpGrad might require some basic knowledge of data analytics, depending on the course. Coursera courses generally do not have strict prerequisites, though having a basic understanding of data analytics can be helpful.

4. What type of certification will I receive?

Answer: UpGrad provides professional certificates, often in collaboration with universities. Coursera offers certificates from top universities or companies like Google.

5. How much do the courses cost?

Answer: UpGrad courses are generally more expensive. Coursera is typically more affordable, with monthly fees ranging from $39 to $92.

6. What kind of career support is available?

Answer: UpGrad offers extensive career support, including job placement assistance, resume reviews, and interview preparation. Coursera provides resume reviews, interview help, and career coaching, though the level of support can vary by course.

7. Can I learn at my own pace?

Answer: UpGrad includes a mix of live sessions and recorded content, requiring some adherence to a schedule. Coursera allows for complete self-paced learning, letting you progress at your own speed.

8. Are there any real-world projects in the courses?

Answer: UpGrad includes industry-relevant projects and case studies as part of its curriculum. Coursera also includes real-world projects, particularly in specialized courses or capstone projects.

9. How do the courses help with job placement?

Answer: UpGrad provides extensive job placement support and has strong industry connections. Coursera offers access to job boards and career resources, but the level of placement support can vary.

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