Data science is all about transforming raw, sometimes messy, data into valuable insights. Data is everywhere, whether it’s your online preferences, personal details, or social media interactions. But making sense of it all is a challenge. This is where data science steps in.
Data science is a fascinating field that uses scientific methods to find patterns in big data. It’s multidisciplinary and has a broad scope. While it overlaps with other subjects, it’s a gateway to diverse careers.
People often confuse Data Scientists with Data Analysts. Both deal with data, but Data Scientists focus on organizing data and creating predictive models. Data Analysts answer questions posed by data science. This blog will delve into data science, course fees, and its incredible potential.
If you want the best available course for data science, you can go for Full Stack Data Science Pro.
Data Science Course Curriculum
The data science curriculum is expansive, encompassing a captivating array of subjects. The foundational pillars of data science comprise Big Data, Machine Learning, Artificial Intelligence, and Modeling.Â
While colleges and universities offer a diverse array of courses, a beginner’s curriculum generally includes:
- Introduction to Data Science
- Exploratory Data Analysis
- Data Warehousing
- Data Mining
- Data Visualization
- Machine Learning
- Model Selection and Evaluation
- Cloud Computing
- Communication and Presentation
- Business Intelligence
- Storytelling with Data
Advanced data science courses expand on these fundamentals and delve into:
- Mathematical & Statistical Skills
- Coding
- Machine Learning Algorithms
- Statistical Foundations for Data Science
- Data Structures & Algorithms
- Scientific Computing
- Optimization Techniques
- Matrix Computations
- Predictive Analytics and Segmentation using Clustering
- Business Acumen & Artificial Intelligence
Data Science Course Topics
Taking data science as a science, engineering, or technical discipline influences the topics covered. Common data science topics include:
- Introduction and Significance of Data Science
- Statistics
- Machine Learning Algorithms
- Data Scientist Roles and Responsibilities
- Information Visualization
- Data Mining, Data Structures, and Data Manipulation
- Data Acquisition and Data Science Life Cycle
- Predictive Analytics and Segmentation using Clustering
- Deployment of Recommender Systems on Real-World Data Sets
- Experimentation, Evaluation, and Project Deployment Tools
- Applied Mathematics and Informatics
- Big Data Fundamentals and Hadoop Integration with R
- Data Mining, Data Structures, and Data Manipulation
Why Choose a Data Science Course?
A recent analysis has projected a 27.6% increase in the demand for considerable data understanding and Data Scientist skills by 2026. This surge is driven by the IT sector’s growing reliance on data science courses, which harness statistics and predictive analysis. Consequently, this trend promises enhanced job security and lucrative salaries.
Beyond these advantages, delving into data science yields:
- Enhanced Autonomy and Flexibility: Data science empowers professionals with the freedom to work from any location and set their schedules, aligning with their convenience. Many organizations accommodate such flexibility, recognizing the unique demands of a Data Scientist’s role.
- Multifaceted Tool Utilization: Data Scientists receive training in machine learning and advanced technologies, enabling them to decipher complex data and develop tailored programs as needed. This creative process and the utilization of diverse tools add an element of intrigue to a career in data science.
- Guaranteed Ongoing Growth: Data science is an ever-evolving domain, adapting to the continually changing landscape of data. As such, it remains a practical and forward-looking field. Additionally, regular interactions with industry experts offer continuous learning opportunities, enriching the experience for professionals in this field.
You get all these benefits in one course, Full Stack Data Science Pro, which covers basic to advanced of data science at a reasonable cost.
Data Science Course Duration
Obtaining a data science certification is attainable with dedication, especially if you aspire to work as a Data Scientist. Several educational paths are available for those interested in a career in data science. Choices range from pursuing a bachelor’s degree in data science obtaining an MS in data science, to completing diploma courses while working.
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Full-Time Courses (1 Year, 2 Years, etc.)
Data science can be studied at the undergraduate level, with the duration varying based on the level and location. Completing a bachelor’s degree usually takes three to four years. As an engineering discipline, a data science program typically spans four to five years.
A master’s degree takes one to two years to complete, while an M Tech in data science may take two to three years. Data science is also available at the doctoral level, where earning a Ph.D. in data science can lead to research or teaching opportunities at esteemed universities. The duration of the doctoral program depends on the institution and the chosen thesis topic.
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Part-Time Data Science Courses
Part-time data science courses are ideal for working professionals balancing work and education. These programs are more extended than full-time courses, as they cover the curriculum and credits over an extended period.
Opting for a PGDM course or a diploma allows completion within ten months, offering a quality education. The Data Science Bootcamp is a popular part-time option, often available online, with some institutions requiring occasional in-person visits for tests and project submissions.
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One-Year Data Science Courses
One-year data science courses are typically delivered online and encompass 180 credits. These programs are divided into two semesters, featuring live classes and a set number of assignments. A final live assignment is provided at the end of the year to assess the student’s learning progress.
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Online Data Science Courses
Many professionals seeking career advancement prefer online data science courses. These programs enable you to apply to international universities and prepare for collaborating with remote teams. For instance, IIT Madras offers an advanced online data science certification in artificial intelligence. Online courses emphasize the practical application of the subject, supplementing theoretical knowledge.
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Scholarships and Financial Help for Data Science Courses
When it comes to learning data science, there are ways to make it more affordable. Here are some options:
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Data Science Scholarships:Â
Many places, like colleges and online platforms, offer scholarships for data science. These are often given to students who do well in school, show leadership skills, or have a strong interest in data science. The amounts and requirements for these scholarships can vary, so it’s essential to find the right ones for you.
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Financial Assistance Programs:Â
If you want to study data science but need financial help, you can explore various programs. These can include grants, loans, and work-study opportunities. Educational institutions and organizations that offer data science courses often have ways to assist you in applying for financial aid.
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Diversity and Inclusion Programs
Some groups and institutions promote diversity and inclusion in data science. As part of these efforts, they provide scholarships and financial aid for underrepresented groups, such as women, people of color, and those with limited financial resources. The goal is to make data science more inclusive.
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Research Grants and Fellowships
At the graduate level, some data science programs offer grants and assistantships for research. These provide financial support in exchange for working on research projects or assisting professors. Besides the money, you also gain valuable research experience.
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External Funding Sources
Beyond scholarships and financial aid from educational institutions, foundations, government agencies, and industry groups may also offer funding for data science education. Each source might have its own application process and requirements, so exploring these opportunities is a good idea.
Also read: Data Science Course Eligibility, Requirements, and Prerequisites
Additional Expenses for Data Science Courses
When enrolling in a data science course, be aware of potential extra costs beyond the course fees. These costs can vary depending on your unique situation and the specific requirements of your chosen data science program. Here are some critical supplementary expenses to consider:
- Learning Materials and Books: Data science courses often require various learning materials and textbooks. While some course providers may include digital resources in their fees, you might need to budget for additional costs associated with purchasing specific textbooks or reference materials to enrich your understanding of data science concepts.
- Software Licenses for Data Analysis Tools: Data analysis frequently involves using specialized software and tools. Some course providers may grant access to these tools as part of the fees, but others may require you to buy or subscribe to specific software licenses. Well-known data analysis tools like Python libraries, R packages, or commercial software like Tableau or SAS may involve extra expenses.
- Hardware Requirements: Data analysis can be demanding on your computer’s resources, especially when dealing with extensive datasets or complex models. You may need a high-performance computer with adequate processing power and memory in such cases. Assess your current hardware capabilities and consider potential upgrades or investments to meet the technical demands of the data science course.
- Certification Examinations and Professional Memberships: Some data science courses offer certification exams or the chance to pursue industry-recognized certifications. These exams often come with separate fees. Additionally, becoming a member of professional data science organizations or obtaining professional memberships may incur associated costs. Still, these can offer networking opportunities, access to valuable resources, and enhance your professional standing.
Top Online Platforms for Learning Data Science With Fees
With the increasing trend towards online education, online data science courses have become more popular. These courses allow students and beginners to enhance their data science skills, especially when access to industry training or internships is limited.Â
Here’s a list of some of the top online data science platforms, along with the course fees:
Physics Wallah Full Stack Data Science Pro
Introducing the Full Stack Data Science Pro program, a comprehensive curriculum designed to empower you with in-depth data science knowledge. This program covers the entire data science spectrum, from data exploration and engineering to advanced areas like machine learning, deep learning, computer vision, natural language processing, and the rapid implementation of engineering solutions. With this course, you’ll develop versatile skills to tackle the challenges presented by today’s data-driven environments and achieve impactful results.
The program is available at a fee of ₹20,000.00, with a generous 50% discount from the original price of ₹40,000.00. It also includes a Job Assurance Program, ensuring your career prospects. The program spans 12 months and is set to begin on August 12, 2023. Classes are conducted in English and are available online through instructor-led live sessions.
Upon completing the program, you’ll be equipped for various roles, including Data Scientist, Machine Learning Engineer, and Data Analyst. You’ll gain proficiency in various essential skills, including Python, statistics, machine learning, deep learning, computer vision, natural language processing, and big data.
The comprehensive offerings of the program include access toÂ
- Course materials
- Quizzes in every module
- Over 50 real-time projects
- doubt-clearing sessions
- Assistance with resume-building
- Access to PWLab
- Over 200 hours of classes
- Practice exercises
- Mock interviews
- Career Guidance
- Membership in a Discord community.
Udemy
Udemy offers some of the top data science courses online. These courses are beginner-friendly and budget-friendly. Here are some of the top-rated data science courses on Udemy:
- “Python for Data Science and Machine Learning Bootcamp” – INR 549 (Original Price: INR 3,899, Discount 86% off)
- “The Data Science Course 2023: Complete Data Science Bootcamp” – INR 449 (Original Price: INR 3,199, Discount 86% off)
- “R Programming A – Z: R for Data Science With Real Exercises” – INR 549 (Original Price: INR 3,899, Discount 86% off)
- “Statistics for Data Science and Business Analysis” – INR 449 (Original Price: INR 3,199, Discount 86% off)
- “Data Science A – Z: Real-Life Data Science” – INR 549 (Original Price: INR 3,899, Discount 86% off)
- “Python A – Z: Python for Data Science With Real Exercises” – INR 549 (Original Price: INR 3,899, Discount 86% off)
- “Complete Machine Learning & Data Science Bootcamp 2023” – INR 549 (Original Price: INR 3,899, Discount 86% off)
Coursera
Coursera is known for offering the best data science certificate programs online. They provide data science courses created by experts in the field, often from top data science colleges. The duration and fees vary depending on your study pace.Â
Here are some popular Coursera courses:
- Google Data Analytics Professional Certificate – 6 months (10 hours/week)
- Introduction to Data Science Specialization – 4 months (3 hours/week)
- IBM Data Science Professional Course- 12 months (3 hours/week)
- Data Science Fundamentals with SQL and Python
- Specialization – 6 months (3 hours/week)
- Data Science: Foundations using R Specialization – 5 months (8 hours/week)
- Practical Data Science Specialization – 3 months (5 hours/week)
- Data Science: Statistics and Machine Learning Specialization – 6 months (6 hours/week)
- Data Science Specialization – 11 months (7 hours/week)
- Applied Data Science with Python Specialization – 5 months (7 hours/week)
- Executive Data Science Specialization – 2 months (6 hours/week)
edX
edX offers a variety of data science courses, including some that are free. Here are a few data science courses available on edX:
- “Data Science: Machine Learning” by Harvard University – Free
- “Data Science: R Basics” – Free
- “Python Basic Course” by IBM – Free
- “IBM: R Data Science Capstone Project” – Free
- “MicroMasters Program in Statistics and Data Science” by Massachusetts Institute of Technology – INR 1,10,402
Conclusion
The blog explains all about data science and its courses. With the demand for data scientists on the rise, it’s an exciting field to explore. Whether you’re looking for financial support or scholarship opportunities, there are ways to make your data science dreams more affordable.
Online platforms, like the Full Stack Data Science Pro program, offer a fantastic chance to master data science from the comfort of your own home. So, if you’re passionate about data and eager to walk on a fulfilling career journey, this is your chance to shine in the world of data science.
