In this complex education environment where every learner needs to perfect their knowledge, data scientists are expected to be skilled. An average data scientist must be able to perform more than one role such as working with machine learning, data visualization tools, database management, and building and deploying data models as well as be equipped with soft skills like effective communication and storytelling. This is why we have compiled a list of data science courses in Cuba to train you with the top skills.
Data Science is an ever-evolving field of study that deals with vast datasets, using modern techniques and tools. As a data scientist, your decisions are guided by the technical and soft skills you’ll learn as well as your industry knowledge.
Data science processes assist you in finding patterns in data, derive meaningful information, and make business decisions based on it. The data can be processed through complex machine learning algorithms to build predictive models because performing such tasks manually can cause errors.
The most successful data scientists of today’s generation understand the need for innovation and keeping up with industry trends. The data science field is dynamic and you need to get past your traditional skills of data analysis, programming, and data mining.
As a professional, you must uncover valuable intelligence for organizations by mastering the full spectrum of the data science lifecycle. Moreover, you should possess a level of flexibility or learn ways of maximizing returns at each phase of the process.
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The Data Science Life Cycle That Leads All Your Decisions, is Briefly Discussed Below:
Identify a Problem – before you start a data science project, it’s necessary to know what you’ll be working on and what the problem is. Identifying a potential problem to be solved is the first step.
Your work involves clarifying the objective, context, stakeholders, and possible outcomes of the project.
The steps involved in this process are understanding the data source with where, how, and what questions, exploring data structures, detecting anomalies in the data, communicating with stakeholders to understand their wants, and turning the problem into a flexible actionable plan.
Data Collection – the next step after you identify a problem, you’ll have to start collecting data from various sources. These potential sources include surveys, focus groups, customer interviews, monitoring your social media pages, online tracking, Web scraping, collecting subscription data, and reviewing documents.
After you gather enough data, you can measure information on variables of interest in a systematic manner that answers your research questions. This step helps you base all your decisions on the collected data.
Processing the Data – just following the previous step, this involves processing the raw data collected from the sources. This is because you can’t work with raw data and transforming it adds value.
This can be a time-consuming process in the data science lifecycle involving a series of methods such as data architecture, merging datasets, cleaning and converting. It is often performed manually by data scientists but can be computerized or automated.
Exploring Data – the collected and processed data is now ready to be explored. This step in the data science lifecycle decides the patterns, biases and ranges found within the data.
It closely relates to initial data analysis where a professional would use visual exploration to determine the basics and characteristics of the data. The outcome of the data science lifecycle is dependent on data exploration which is why it’s important.
Data Modelling – the trends and patterns that you discover within a data can help solve the original problem. But, to get accurate results you need to present your findings through visual representation.
Data modeling is effective because it facilitates the creation of blueprints for design in a new database or application reengineering.
You will first come up with an initial concept or organize details, then physical setup or techniques as well as validity. This step is taught as a separate module in several of the data science courses in Cuba.
Communicating the Results – in many job spheres communicating your results is a key skill and it plays a crucial role in the data science lifecycle. Effective communication enables you to share your findings with stakeholders, who would use them to solve problems.
To reach a desired outcome you need to break your information to be on par with your audience’s understanding. Here, the audience is the stakeholders who may not have any technical background, so it’s important to sum up your findings visually.
On the other hand, you can utilize more than one format or a combination to convey the findings. Better ways of communicating data results are learned through data science courses in Cuba.
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The Top 9 Data Science Courses in Cuba Are Discussed Below:
1. IIM SKILLS
This Ed-tech company has been around since the year 2015 and gained massive popularity for its approach to the online education industry. In its initial years of development, IIM SKILLS introduced the content writing master course which was a subject not yet popularized.
The institute also provides an excellent faculty who strive to increase the quality of the courses while making them affordable. They are also working towards identifying various skill development training programs that prove the most beneficial for this generation of students.
- Course Name – Data Science Course
- Course Fee – $ 916.25
- Duration – 11 Months Of Training + 2 Months Of Guaranteed Internship
Course Highlights
| Course Benefits | |
|---|---|
| Industry Affiliation | |
| International Accreditation | |
| Latest Tools Covered | |
| Case Studies & Projects | |
| Placement Assurance | |
| 1-on-1 Mentoring | |
| Module Specific Professors | |
| Online Live Classes | |
| Mandatory Internship |
To date, the institute’s contribution has been towards training more than 45,000 students across over 35 countries. It is considered one of the leading data science institutes in Cuba.
The company has also gained recognition for offering a professional-level training program for more than 8 years and partnering with qualified industry experts.
Details of the Course:
The data science master course is one such online training program that combines an industry-relevant curriculum with the student’s development needs. It guides you to follow the latest industry trends, tools, and techniques, assisting you at every step of your learning journey.
It comprises lessons framed by expert instructors and divided into over 160 hours of classroom lectures, 100+ hours of practical assignments, 16 projects, 10 case studies, and mastery of 7 industry tools.
The course goes beyond offering you online recorded videos and keeps two-way interaction between students and teachers for the live classroom experience.
The training approach is practical and provides round-the-clock assistance to students. Thus, it has more than enough reason to be among the top online data science courses in Cuba.
Contact Information
Phone: +91 9580740740
Email: info@iimskills.com
Website: iimskills.com
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2. Trainingcred
Years after being established, Trainingcred brings forward training and research along with customized consultancy services for international development organizations.
As one of the top providers of online data science courses in Cuba, its long-standing mission is to enhance the impact, effectiveness, and efficiency of different social interventions through innovative solutions.
Trainingcred leads the online education competition with its expertise in the design and delivery of tailored training programs, specialized e-learning experiences, thorough research and analysis which is conducted to stay ahead of industry trends, and professional workshops aimed towards skill development.
This is why it is one of the well-reputed data science institutes in Cuba.
Details of the Course:
Trainingcred offers a unique data science course with Python training, designed to help beginners gain mastery in Python programming. The program promises to start at the basics before building up more advanced topics such as predictive analytics and machine learning.
The main course objective achieved through this training is to help you understand fundamental concepts of data science, statistics and machine learning. You can learn important Python functionalities like manipulating, analyzing and visualizing data.
Other skills in software like Apache Spark are introduced, so you can work with big data and distribute computing frameworks.
The training methodology follows lectures, seminars, presentations, group discussions, assignments, functional exercises and case studies. Certificates are also granted after successful completion of the Data Science with Python Training Course.
Fee – 1360 USD to 1500 USD (virtual instructor-led sessions)
Duration – 10 days
Contact Information
Phone: (+254) 759509615
Email: training@trainingcred.com
Website: trainingcred.com
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3. Emeritus
Emeritus acknowledges the growing complexity and competition for big data management, data science, and analytics industries which led to the introduction of several courses on these disciplines.
The online platform offers you a varied choice of data science courses. It makes predictions for the adoption of digital transformation on the cloud by 75% of organizations as well as 80% of companies to deploy several data hubs by the year 2026.
It is one of the data science institutes in Cuba that is committed to teaching the skills of the future, thus making our list of top data science programs. It brings together more than 2,300 team members who are willing to share their expertise.
Details of the Course:
The Professional Certificate in Data Science and Analytics enlightens you on concepts like data science, machine learning, and artificial intelligence.
You’ll learn to leverage data for optimizing strategies and improving decision-making, learn to apply machine learning techniques to organize and analyze data, as well as develop a portfolio of modern tools to showcase your skills.
This data science training program is offered in partnership with MIT xPro and is perfect for data or business professionals.
Fee – 7,450 USD
Duration – 6 months
Contact Information
Email: info@emeritus.org
Website: emeritus.org
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4. Charles Darwin University
Charles Darwin University offers multiple campuses along with dual-sector status. Moreover, it grants you virtual and online expertise, course profiles, research activities, and more.
It strongly believes in the transformative power of training, research, and education which can change your life for the better.
The university also shares a collective responsibility to ensure these are of high quality and delivered by outstanding educators, which makes it stand among online data science institutes in Cuba.
Details of the Course:
Charles Darwin University is one of the top providers of data science courses in Cuba. Most postgraduate degrees offered in this university such as the Master of Data Science training program, help you upskill your work performance, increase job prospects as well as explore new areas of interest.
The course grants you professional recognition with accreditations from the Australia Computer Society which is recognized internationally under the Seoul Accord. However, there is an admission criteria which you must keep in mind.
You should have one recognized bachelor’s degree or some equivalent international qualification to be accepted.
Duration – 2 years full-time
Contact information
Phone: 1800061963
Email: student.central@cdu.edu.au
Website: cdu.edu.au
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5. The Knowledge Academy
This platform is one of the largest online education providers with an award-winning history. Throughout the years of its service, it has formed valuable industry connections with Ashton Martin, Samsung, HSBC, Google, Tesla, LinkedIn, and many other companies.
The Knowledge Academy’s extensive experience with quality-infused learning solutions has made it capable of delivering more than 30,000 courses in 1000+ locations around the world.
It has consistently delivered content with unrivaled quality to all aspiring learners. Thus, keeping its capabilities as an institute in mind, we recommend it among other data science courses in Cuba.
Details of the Course:
The Advanced Data Science Course helps you familiarize yourself with different data visualization methods with Python and also acquire skills for implementing different data in Power BI data models.
There is an advantage of attaining in-depth knowledge of data analytics lifecycle and big data. The training program breaks down its content into 13 modules with each focusing on a different topic, for easy information retaining.
Other than generic lessons, it includes world-class training sessions, advanced certifications and a Digital Delegate pack. You can choose to take up the course in online instructor-led, online self-paced and onsite formats.
Fee – 4,395 USD
Contact Information
Phone: (+44) 1344203999
Email: info@theknowledgeacademy.com
Website: theknowledgeacademy.com
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6. Careerera
This institute was brought into action in the year 2009 with a vision to utilize essential intelligence to accelerate programs in the digital revolution. It stands as one of the best data science institutes in Cuba, strongly believing education to be a great investment for the future.
Its courses are result-oriented and comprehensive, so students can pursue careers in software development, data science or product design.
Its presence reaches far and wide across 60 countries, employing more than 500 individuals and transforming the lives of 100,000 students in the past 12 months.
Details of the Course:
This online data science certification course comes with elaborate modules on data collection, future engineering, data mining with integration, data visualization, building prediction models, and deploying solutions to customers.
As one of the highly sought-after data science courses in Cuba, it is aimed at serious individuals who want to achieve success and positive outcomes in their professional lives.
The institute lists the ideal candidates for this course to be beginners as well as professionals, business intelligence experts, software programmers, and consultants.
However, Careerera does not guarantee the placement of its students. Other details about the course like fees and course duration can be enquired.
Contact Information
Email – info@careerera.com
Website – careerera.com
7. Imarticus Learning
Imarticus Learning promises to engage you in a lifelong learning process to prepare a global community for a futuristic tech-driven society. The company has built a stable reputation over the years with more than 10,00,000 learners and 3,500 hiring partners.
It has also witnessed a 54% average salary hike and 85% placement records. Imarticus Learning is trusted by big brands like KPMG, RBS, UBS, Tata, HSBC, Capgemini, Goldman Sachs, and Tesco.
Details of the Course:
You can unlock many possibilities with this data science course including assistance with your future job, as it offers 10 interview sessions at 500+ top-tier partner organizations.
The curriculum is job-specific and dives into concepts like Python, SQL, data analytics, Power BI, and Tableau. There are provisions for live learning modules that deliver robust lesson plans and hands-on training methods to prepare you for various data science roles.
The data science training program is equipped with real-world projects that especially teach you aspects formulated by industry experts and the company’s dedicated career services.
It includes profile enhancement, resumes, mentorships, workshops for job assurance, and more. Thus, it stands on our list of top data science courses in Cuba.
Duration – 6 months
Contact Information
Email: info@imarticus.com
Website: imarticus.org
8. Odinschool
Odinschool is that online platform that upskills individuals to launch, transform, and propel their careers in high-growth domains. The main focus of this institute is to effectively mobilize skills, resources, and knowledge so they can produce candidates who stand out in hyper-competitive tech sectors.
They also commit to becoming a trusted source for all skilled talents in the industry. Odinschool’s courses are job-aligned, hold high value in the industry, and can generate job-ready talents.
Details of the Course:
Odinschool brings hands-on courses with in-demand skills that help it be recognized as one of the top data science courses in Cuba. It assures you the benefits of the industry-vetted syllabus, along with over 10 data science projects, practice labs, and mock interviews.
The career services provided with this course assist with communication and aptitude training, mock interviews and workshops on workplace behavior.
Duration – 6 months
Contact Information
Email: hello@odinschool.com
Website: odinschool.com
9. Coursera
Established in the year 2012, Coursera still stands as one of the top providers of data science courses in Cuba, bearing the largest community of learners.
This platform operates 100% online and has strong industry connections with renowned universities and education institutes such as Yale, IBM, Duke University, Illinois Univerity, and Google.
These collectively aim towards the growth of students, flexibility, affordable learning options, and job relevance. The primary motive is to offer aspiring data scientists like you a range of opportunities from hands-on projects.
Details of the Course:
The University of Michigan offers you a chance to partake in the Master of Data Science training program, through Coursera’s online platform. This course delves into real-world problems and prepares you to solve them.
It develops your end-to-end perspective of the field and helps you cover core concepts like big data, data ethics, data privacy and machine learning.
With the highly sought-after data science courses in Cuba, there are often no prerequisites to join the course except for a valid bachelor’s degree from a recognized university.
Fees – 34,759 USD approx.
Duration – 12 to 36 months
Contact Information
Website: coursera.org
Benefits of Enrolling in Data Science Courses in Cuba
It is always a better choice to go for the professional training program when you get an opportunity. Several data science courses in Cuba make it a point to keep their curricula updated.
This includes well-researched course content, an introduction to industry tools, and real-world-based case studies. Every lesson is planned with the student in mind, so the best outcomes can be achieved through the data science training programs.
1. It Shapes your Mind – data science is complex, not only for beginners but also for individuals already acquainted with the industry. Keeping up with its dynamicity can be overwhelming, which is what makes these courses all the more important.
Data science courses guided by experts can provide you with valuable knowledge on different aspects of the discipline and you may learn things that weren’t known to you.
This exchange of ideas and communication will help you build a strong base in data science as well as make connections from the very beginning.
2. Organization of Content – These data science institutes in Cuba are very particular with their course presentation. Every module is checked and updated with the help of a professional. Moreover, you will find all the relevant topics in one lesson. Data science courses are better because you don’t need to search for related content for your topic of interest.
3. Increased Skills – the data science industry is expected to grow with the advancements in technology, which calls for an availability of skilled professionals. Not every data scientist in the job market is going to be equally qualified and this career path demands a certain level of proficiency.
The mentioned data science courses in Cuba take the professional development of its students to be perfect. You’ll learn skills like programming, data wrangling, statistics and business intelligence.
FAQs
Q) How much can I earn as a data scientist in Cuba?
The average salary of data scientists in Cuba ranges between 4,000 to 6,000 CUP.
Q) Do I need a background in mathematics for data science?
Yes, it is good to be proficient in basic math, especially algebra. Although, the exact qualifications are based on the role you apply for.
Q) Does data science have scope for employment in the future?
Yes, data science is much more likely to be a lucrative career option than other fields. This is because it thrives in the technology-driven world.
Conclusion
As discussed, data science is a field that demands excellent quality from your end but such expectations can be challenging to fulfill without proper guidance. There are times when beginners as well as individuals already in this profession find it difficult to work in a dynamic technological environment.
These data science institutes in Cuba strive to help such learners cope with the dynamic aspect of data science through introduction to industry tools, case studies, and internships.
Vanthana Baburao
Currently serving as Vice President of the Data Analytics Department at IIM SKILLS......
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