What is the average data science course duration and fees. What is the cost of learning to become a data scientist.
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What is the average data science course duration and fees. What is the cost of learning to become a data scientist.
Well if you’re someone who cannot give too much time but wants to enter the world of Data Science, then you can begin by pursuing a Data Analytics Course which tends to be around the duration of 6-8 months.
I cannot speak for everyone: But I Do know IIM Skills provides a really well rounded Data Analytics curriculum that’s beginner friendly which includes in-house internships. 1 on 1 doubt clearing with mentors and overall a great learning atmosphere for an online teaching platform.
It costs around 49k inr + GSt. However they allow for a demo class you can apply and join to review for yourself if they are worth a shot. So I definitely think you can check them out .
The ideal data science course duration is typically 6-12 months for job-oriented programs, offering a balance between comprehensive learning and quick career entry. Course fees vary widely—from ₹30,000-60,000 for basic online courses to ₹1-3 lakhs for instructor-led programs with placement support. For the best value, I recommend the IIM SKILLS Data Science Master Course priced at ₹64,900 + GST for an 11-month program, it covers Python, R, machine learning, AI, SQL, and Power BI with over 300 hours of live sessions. The course includes hands-on projects, one-on-one mentorship with ex-IIT Mumbai faculty, a guaranteed 2-month paid internship, and 100% placement assistance with 550+ hiring partners. This makes it significantly more affordable and career-focused compared to programs costing ₹2-3 lakhs with similar or lesser features
An ideal data science course typically lasts 6 to 12 months, offering theory, practical projects, and internships. Fees range from ₹50,000 to ₹2,00,000, based on institute and curriculum. Online platforms provide flexible, affordable options. Understanding Social Commerce Meaning, such courses may also cover digital trends and commerce analytics skills.
The duration of a comprehensive data science course ranges from 6 months to 2 years, depending on the program’s depth and format. The cost varies widely—from approximately ₹50,000 to ₹2,00,000 for full-time certifications and diploma courses.
For learning to become a data scientist, it’s essential to focus on mastering core skills such as Python, R, SQL, statistics, and machine learning, along with practical project experience. The IIM SKILLS Data Analytics Master Course is an affordable, 6-month, live instructor-led program that covers all these skills, offers 8+ live projects, mentorship, placement support, and a paid internship, making it a highly valuable investment for aspiring data scientists.
When you are looking for the best data science course, then it is very important to look beyond promotional statements and examine curriculum. What matters is quality of mentorship , practical experience you will be getting and if there is any placement support or not. When I was looking the course I checked these things first in the course, and I came across IIM SKILLS their Data Analytics Master Program last for 6 months the whole program with full of live classes with top quality teachers. Their course cost around 49,000 including 18% gst, to me it looks fair because they offers so much. Their course include beginner friendly content for someone like me it was a like a hitting jackpot. They also have placement support and along with the 6 months paid internship, they also offers mock interviews.
The ideal duration and fees for a Data Science Course can vary depending on the specific course content, depth of coverage, and the institution offering the course. However, I can provide you with a general overview of the typical duration and fees for data science courses.
Additionally, it is worth considering that there are various options available for learning data science, including online courses, bootcamps, university programs, and professional training institutes. Each option may have its own cost structure and duration, so it is advisable to explore multiple options and evaluate them based on your specific requirements and budget. Data Science Training in Delhi
When considering the duration and fees of a data science course, it is essential to take into account the course content, quality of instruction, hands-on practical experience, industry recognition, and placement support provided by the institution. It is recommended to choose a course that strikes a balance between affordability and comprehensive learning, ensuring that you acquire the necessary skills and knowledge to excel in the field of data science. Data Science Training Course in Laxmi Nagar Delhi
It is always a good idea to research and compare different data science courses, read reviews or testimonials from past students, and reach out to course providers for detailed information on the duration, curriculum, fees, and any additional benefits or resources included in the course package.
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Data Scientist is the job which is creating a hype, by its demand all around the world. According to studies and reports, the U.S. will have around 140,000 to 180,000 fewer data scientists than it needs. Data science is in high demand, but the supply is not sufficient. India will need more data scientists than engineers and chartered accountants by 2018. Why wait? Become one and you will be in high demand. To become a data scientist, one must first require knowledge of Python Programming, Advance Python Concepts, Python, Python for Data Visualization, Statistics, Machine Learning, SQL, and all other data science concepts. But, no data science course covers all the data science concepts in a clear and coherent structure. However, to solve those problems. 1stepGrow professional training institute offers the best Data Science course in a clear and logical structure to make it easy to understand all the concepts immediately. 1stepGrow’s online Data science course will allow you to engage in tutorials and learn hands-on about data science and machine intelligence concepts. This course offers live training on 20+ advanced tools and concepts related to including 100% live training on tools & concepts such as Python Programming, Advance Python Concepts, Python, Python for Data Visualization, Statistics, Machine Learning, Time Series Analysis, ARIMA, Natural Language Processing (NLP), Reinforcement Learning, Neural Networks, Git & GitHub, SQL, MongoDB, HBase, AWS, GCP, Azure Cloud Computing, Apache Spark, Hadoop, Hive, Teradata, Azure Data lake, Advanced Excel, Power BI, Tableau, Agile & Scrum, etc. 1stepGrow is deemed to be one of the best Data Science course in Bangalore because this course is a great combination of theory, case studies, and capstone projects. For more info checkout: https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/
Key highlights:
– 400 hours intensive live training.
– Live Onboarding Session.
– 100% job guarantee.
– IBM certification.
– Apprenticeship Opportunity to work on client projects for real-time hands-on training.
– 25+ Projects & 5+ capstone projects.
– Mock Interviews by Hiring Managers.
– No cost EMI option.
– 1:1 with Industry Mentors.
– The course provides the entire toolbox you need to become a data scientist
This Python Data Science course offers 100% placement services as part of its Data Science Training Program. You can get placed in many multinational companies such as Nykaa and Myntra, Cred, Meesho, Razorpay, Wipro, Infosys, Tcs, Microsoft, Hungama, PharmEasy and more.
Also, By attempting the test on the 1stepGrow website, you can receive a discount of up to 30% off academic fees, qualify for scholarships and advance your career.
1stepGrow ensures students receive practical training, so it doesn’t matter whether you have minimal or no tech experience with 1stepGrow Data Science, you will get ready for the future.
For more information, please visit:
https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/
Data science is an interdisciplinary subject that employs scientific techniques, procedures, algorithms, and systems to extract or infer information and insights from noisy, structured, and unstructured data, as well as to apply data knowledge across a wide variety of application areas.
In the associated field of data science, knowledge and impressions are derived from both structured and unstructured data using scientific methods, procedures, algorithms, and systems. To derive useful conclusions from data, data scientists employ theorems from the fields of mathematics, statistics, computer science, and information technology. Data science is related to Big Data, Machine Learning, and Data Mining.
Online data science programmes come in UG, PG, Certificate, and Diploma formats. Each of these programme kinds has a different cost. For undergraduate programmes, the average total cost is about 1.5 lac. For PG courses, the average total cost is close to 2 lac.
Candidates can choose from a variety of offline and online data science courses. Candidates can review the courses below that suit their preferences:
Take a look at how many hours there are per course:
1. DS Specialization — JHU @ Coursera – 7,000 hours
2. Statistics and DS MicroMasters — MIT @ edX – 5,000 hours
3. Python for DS and ML Bootcamp — Udemy – 4,600 hours
4. DS & AI Certification With Domain Specialization- Learnbay – 3,200 hours
You can choose your needs and interests. The finest option for your career development and progress is data science.
Anywhere the cost can range from 50k -1.5Lakh. Again depending on the course you take up, few institutes also offer full stack data scientist courses.
The other two data certifications SAS offers are combined into the SAS Certified Data Scientist credential. Programming techniques, data management and improvement, data transformation, access, and manipulation, and dealing with well-known data visualization tools are all covered.
Two of the top global data scientist qualifications are its SDS (Senior Data Scientist) and PDS (Principal Data Scientist) credentials.
You can choose from a variety of alternatives in Data Science certificate and diploma courses, each with a varied time commitment.
Data science is an associative field that uses scientific methods, processes, algorithms, and systems to extract knowledge and perceptions from unstructured and structured data. Data science uses principles of Mathematics, Statistics, Computer Science, and Information Technology to get practical perceptions from data. Data science is associated with Data Mining, Machine Learning, and Big Data.
The types of online data science courses are- UG, PG, Certificate, and Diploma. The program fee varies across these types. The average total fee for UG courses is approximately 1.5 lac. The average total fee for PG courses is around 2 lac.
Different Data Science courses are available for candidates on online and offline mode. Candidates can check the courses as per their choice below:
Duration for UG Data Science Courses- 3 years
Duration for PG Data Science Courses- 2 years
Duration for Certificate and Diploma in Data Science Courses- 6-12 months
So, various courses are offered by different institutes. It is up to you to choose one. You can select your interest and need. Data Science is the best option for your career growth and development.
The fee varies from institute to institute. But the average fee describes below:
1. The average total fee for UG courses is approximately 1.5 lac.
2. The average total fee for PG courses is approximately 2 lac.
3. The average total fee for Certificate and Diploma courses can vary depending on the type of subject, the duration, and the services offered. However, the total fee lies in the range of ₹50,000- ₹1,50,000.
The SAS Certified Data Scientist certification combines the other two data certifications offered through SAS. It covers programming skills, managing and improving data, transforming, accessing, and manipulating data, and working with popular data visualization tools.
Its SDS (Senior Data Scientist) and PDS (Principal Data Scientist) credentials are two of the top global data scientist certifications.
In Data Science certificate and diploma courses, there are many options with different time durations that you can opt for.
The top 10 data science certifications are:
1. Google Data Analytics Professional Certificate
2. Introduction to Data Science
3. SpecializationIBM Data Science Professional Certificate
4. Data Science Fundamentals with Python and SQL Specialization
5. Data Science Foundation with R Specialization
6. Practical Data Science Specialization
7. Data Science: Statistics and Machine Learning Specialization
8. Data Science Specialization
9. Applied Data Science with Python Specialization
10. Executive Data Science Specialization
As data science is in high demand and data science course subjects are a major need for the learners so that they have a clear understanding about data science. Data Science and its applications which is followed by a deeper dive into topics such as Data Collection, Data Visualization, Data Pre-processing, Machine Learning basic, Python Programming basics, Python Libraries required for Data Science along with Capstone Projects including Building a Movie Recommendation System, Cancer Prediction, etc. Following are some data science course subjects.
1. Statistics:
It is definitely among the most important data science course subjects. It involves maintaining records and important information. Statistics is the process of analyzing historical data, like customer search history.
1.1 Descriptive Statistics:
It helps to understand the data. By quantitative summarization of your data through numerical representations and graphs, data can be properly described. It includes Normal Distribution, Central Tendency, Kurtosis, and Variability.
1.2 Inferential Statistics:
Data is not of any use if you can’t draw a conclusion out of it. Making inferences about the population through a smaller sample can be done through this. The methods it includes are Central Limit Theorem, hypothesis testing, ANOVA and Quantitative Data Analysis.
2. Mathematics for Machine Learning:
It is also an important part of A.I and forms an important basis of data science course subjects. Machine Learning theory is a field that divides Linear Algebra and Calculus. With the right approach through the practical implementation of math, it can be quite fun!
3. Programming Knowledge: A good hold of programming languages
is a must in data science and it forms a basis in data science course subjects. These are the essential ingredients for Data science.
1)Advanced Microsoft Excel:
Excel is very useful to clean data because of its vast set of features.
2)Python:
Python is an interpreter based language as it interprets the Python code . You can check out over the internet for some good learning.
3)R:
R is customized to develop statistical models for analyzing a large amount of data.
4)SQL:
SQL helps to retrieve and manipulate data from the database.
In conclusion, I just want to say that even if you read 100 books, but are not able to apply that theoretical knowledge on numbers then it will not add value. Online courses are available and all you need to do is be self-motivated and inspired by yourself and you will see how you will be able to learn it in a short span of period.
These are some of the important data science course subjects which are required to make a career in data science.