Question 1

What is the difference between a Data Scientist and a Data Analyst?

Accepted Answer

The job of a Data Analyst is to make sense of the data that the Data Scientist has extracted. While both these disciples might seem interlinked or interchangeable, they are different. The specialization done by a Data Scientist is different from a Data Analyst. And a Data Scientist can also act as a Data Analyst if they have taken the required subjects during their classes.

Question 2

What is big data?

Accepted Answer

Big data is a collection of structured, semistructured, and unstructured data collected in raw form and stored. These data are generally collected from places like the stock exchange market, social media platforms, etc. Analyzing these sets is not easy for traditional data analyzing software. Data mining relies primarily on big data, so correct analysis of the same is of utmost importance.

Question 3

Is mathematics essential for data science?

Accepted Answer

Yes, mathematics is a prerequisite for studying data science. Since data science involves statistical analysis based on predictive models, knowing linear programming and statistical mathematics is essential. If you did not have mathematics as a subject in high school, you could opt for pathway programs to bridge the educational gap.

Question 4

Is data science a part of bioinformatics?

Accepted Answer

Yes, data science is a part of bioinformatics, along with biology and computer science. Bioinformatics uses analytical tools to extract and analyze biological data, especially in genetics. For example, the Human Genome Project has recorded about three billion basic pairs of the human DNA system. This information will help researchers to understand mutations and genetically-linked diseases. Studies to prevent the same are also conducted based on these analytical data.

Question 5

Which colleges offer an online postgraduate diploma or PGDM in data science?

Accepted Answer

A postgraduate diploma in data science will help you further your career perspectives as data science is a versatile and broad area of specialization. If you have studied computer or mechanical engineering, you can opt for a part-time online degree in data science from one of these reputed colleges/ universities:

Symbiosis Centre of Distance Learning
IIT Lucknow
upGrad
IMS Pro School

Question 6

What is the function of coding in data science?

Accepted Answer

The process of structuring and analyzing unstructured data is done via coding. Proper knowledge of programming languages like C, C++, Java, SQL, or Python is another prerequisite for learning data science. When you know to code, you can make programs and algorithms to specify your needs and not spend hours manually scouring through the vast data sets.

Question 7

Apart from being a Data Scientist, what other career options are present after studying data science courses besides being a Data Scientist?

Accepted Answer

Data science is an interdisciplinary subject, and hence, many topics are covered in this course. You can consider the following careers after successful completion of your data science course:

Business analyst
Data architect
Data mining expert
Research analyst
Business intelligence analyst

Question 8

What are some of the top data analytics course certifications to consider?

Accepted Answer

As data analytics is an essential part of data science, having a core specialization can help further your career and get a hike in your salary. Some of the certifications to consider are:

IBM Data Science Professional Certificate
Microsoft Azure Data Scientist Associate Certification
Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
Amazon AWS Certified Big Data
Certification of Professional Achievement in Data Sciences (by Columbia University)
Introduction to Data Analytics for Business
CCA Data Analyst

Question 9

What non-technical skills are required in data science?

Accepted Answer

While data science is a technical subject, the job that entails the specialization of a Data Scientist also requires you to have certain soft skills or non-technical skills. These are necessary when you have to cater to large data. You need to be able to:

Communicate properly: Data science is a technical subject, and hence, jargon is inevitable. But, your colleagues are not all data scientists, and since you need to work with other teams to generate revenues, you need to be able to simplify the reports for everyone’s comprehension.
Act as part of a team: Data science is not reliant only on a Data Scientist. Some analysts and engineers have to work on the same sets of data. Hence, coordination and the capability to be a team player are essential.
Organize effectively: Companies hire professionals who are well-acquainted with computers and statistics. The other quality sought in the data science professionals is being organized in the tasks given.

Question 10

What is the age limit for studying data science courses?

Accepted Answer

There is no such upper limit regarding age to study data science. This is a vast field, and many companies are constantly looking for competent Data Scientists. Statistics predict that the need for Data Scientists and other data-relevant fields will increase exponentially in the near future. And, there are not many people to fill up the roles. Hence, getting an additional degree or diploma in data science is beneficial.

Question 11

Is it possible to pursue data science even without a STEM background?

Accepted Answer

Data science is a technical field, and having opted for science subjects and computer applications in high school is essential. Suppose you have not pursued computers or mathematics and statistics in your academic years. In that case, you need to show that you have taken those classes after school years to be considered eligible for studying data science.

Question 12

What is the difference between a Master’s degree and a postgraduate diploma course?

Accepted Answer

Both MSc in data science and a postgraduate diploma (PGDM) in data science are courses that an individual undertakes after the completion of their undergraduate or bachelor’s degree. The core difference lies in the credits that these courses offer, the duration, and the specialization that students can opt for. The master’s degree is a full-time course with 180 credits. The PGDM is a part-time course with 120 credits. While both are specialization courses, the PGDM focuses on improving skill sets.

Question 13

Which is better, being a Data Scientist or being a Data Analyst?

Accepted Answer

A Data Scientist creates questions through collected data, and a Data Analyst finds the solutions to those questions. Since both these fields are complementary to each other, there is no question of stating which is better over the other.

Question 14

Is it possible to pursue a Ph.D. post PGDM in data science?

Accepted Answer

Yes, getting a Ph.D. in data science is possible even though you have opted for a postgraduate diploma course. You just need to clear the CSIR-UGC NET Exam.

Question 15

What is predictive analytics?

Accepted Answer

Predictive analytics is a part of data science and data mining. With predictive analytics, you can teach the computer to go through the data history, track the patterns and the parameters that act in correlation and then predict an outcome. For example, if a power grid is shown to malfunction every time a particular sensor reaches a particular temperature. In that case, the machine will be taught to send notifications every time that sensor is at risk of reaching that particular temperature. This aspect plays a vital role in risk assessment and disaster aversion.

Question 16

What programming languages will best help in learning data science?

Accepted Answer

Programming language is the language that computers use to communicate with each other. Every student who studied computers in school has been taught DOS and C or C++. These languages, though older, are not very reliable when it comes to processing data. Hence, it is essential to polish the language skillset. Some of the best languages are:

Javascript
Python
Go
Java

Question 17

Is data science a difficult subject?

Accepted Answer

The difficulty level of data science as a subject depends on the learner’s capability and the ability to grasp concepts. Being a technical domain, data science might seem to be a difficult subject on paper. Still, given the number of students enrolling in data science, it can be said that the subject is interesting. With practical knowledge along with theories, data science can be fairly easy to master.

Question 18

What is the function of SQL in data science?

Accepted Answer

Structured Query Language or SQL is a programming language that is used to retrieve and store data. Since data science is all about collecting and analyzing data, the retrieval and storage part is vital in generating historical datasets for the machine to upgrade itself.

Question 19

What are the basic data science concepts that beginners should know?

Accepted Answer

Data science is primarily dependent on statistics and machine learning. Hence, proper knowledge about both these core components is essential. As a beginner, it is expected to know the following statistical disciplines:

Descriptive Statistics
Probability
Dimensionality Reduction
Central Tendency
Hypothesis Testing
Tests of significance
Sampling theory
Bayesian Statistics

Question 20

Can a data science course be self-taught?

Accepted Answer

Technically yes, data science can be self-taught, and people who have expertise in the domains of machine learning and programming languages can look up various videos and tutorials, and most of them are available for free. But, the certification is essential for getting a proper and well-paid job for companies would seek academically sound students over self-taught professionals.

Question 21

More about making the right choice

Accepted Answer

When contemplating your educational journey in the expansive field of data science, it's paramount to carefully evaluate the data science course fee. This fee is a critical aspect that directly influences the investment you make in acquiring valuable knowledge and skills. Opting for a certificate course in data science is a strategic decision, providing a structured curriculum for a comprehensive understanding of the subject. The availability of data science online training is a significant advantage, allowing you to learn data science at your convenience and pace. Understanding the nuances of the data science fee is crucial to ensuring that your investment aligns with the substantial value derived from the course. Whether you choose a data science course online or an in-person setting, the primary focus should be on selecting a program that equips you with the necessary skills to navigate the dynamic landscape of data science effectively.

Question 22

What is the different between Data Science and Machine Learning?

Accepted Answer

Data Science and Machine Learning, while interconnected, are distinct domains in the realm of technology and analytics. A Data Science course provides a comprehensive understanding of handling vast datasets, extracting meaningful insights, and utilizing various statistical and analytical tools. It encompasses a broad spectrum, including data preprocessing, visualization, and interpretation. On the other hand, a Machine Learning course delves specifically into the algorithms and models that enable computers to learn from data and make predictions or decisions. While a Data Science course covers the entire data lifecycle, Machine Learning focuses intensively on creating models that can autonomously improve over time based on data patterns. In essence, Data Science is the overarching discipline that includes Machine Learning as a specialized component, highlighting the interconnected yet distinctive nature of these educational pursuits.

Question 23

What is the use of Artificial Intelligence and GenAI in Data Science?

Accepted Answer

Artificial Intelligence (AI) plays a pivotal role in enhancing the capabilities of Data Science, contributing to more advanced and efficient data analysis. AI techniques, such as machine learning algorithms, are integrated into Data Science practices to automate complex tasks, recognize patterns, and generate valuable insights from vast datasets. The synergy between AI and Data Science empowers professionals to extract meaningful information, make predictions, and optimize decision-making processes. Genetic Artificial Intelligence (GenAI) introduces a unique dimension to Data Science by drawing inspiration from the principles of genetics and evolution. In the context of Data Science, GenAI involves the creation of algorithms that evolve and adapt over time, mimicking the process of natural selection. This innovative approach can lead to the development of more adaptive and robust models in Data Science, allowing systems to self-optimize and improve their performance based on the success of previous iterations.

Question 24

Who can do data science course?

Accepted Answer

Anyone with a keen interest in data analysis and a willingness to learn can enrol in a data science online course with certificate. These courses, including upGrad data analytics course, are suitable for beginners, professionals looking to switch careers, and those seeking to enhance their data analytics skills. A data science qualification such as a bachelor's degree in a related field can be beneficial but is not mandatory in some cases.

Question 25

How to do data science course?

Accepted Answer

To pursue a data science and data analytics course, you can enrol in online data science classes or data analytics master's programs. The upGrad data science course offers flexibility and comprehensive learning, making it one of the best data science certification programs. You can start with an introduction to data analytics and progress to more advanced topics.

Question 26

What is the duration of data science course?

Accepted Answer

The data science machine learning course duration varies depending on the program. It can range from a few weeks for a data science certificate to several years for data science degrees, such as an MSc data science online. upGrad's data science courses online offer various durations to fit different learning needs.

Question 27

Which data science course is best for placement?

Accepted Answer

Courses like upGrad's data science course with placement guarantee are highly regarded for their strong industry connections. The best data science certification online often include placement assistance, making them ideal for those looking to start a career in data science.

Question 28

Who are eligible for data science course?

Accepted Answer

Eligibility for a data science course typically includes a basic understanding of mathematics and a willingness to learn programming. However, some of upGrad's data science programs are also designed to accommodate beginners, with no strict prerequisites.

Question 29

How to apply for data science course?

Accepted Answer

Applying for a data science certification course is simple. You can visit the program pages and choose the best data science online course that suits your career goals. The application process usually involves filling out an online form and possibly a brief interview.

Question 30

Is data science a good career?

Accepted Answer

Data science is an excellent career choice, particularly in this era of digital transformation. The field is not only lucrative but also offers immense potential for professional growth. By enrolling in data science classes or obtaining a data science certification, you open doors to many opportunities. The demand for data scientists is soaring across industries, making it a future-proof career. Data science qualifications enable professionals to tackle complex data challenges, drive innovation, and influence strategic decisions in organisations.

Question 31

What are the careers in data science?

Accepted Answer

Careers in data science are diverse and rewarding, spanning various sectors. After completing data science online classes, graduates can pursue roles such as Data Analyst, Data Engineer, Machine Learning Engineer, Business Intelligence Analyst, and more. Advanced studies like an MSc data science or a data science degree can lead to specialised AI and machine learning roles. Additionally, data science certifications can be a stepping stone to analytics and strategic planning leadership positions.

Question 32

Is data science in demand?

Accepted Answer

Absolutely, data science is one of the most in-demand fields today. With the use of data in every sector, the skills acquired from the best data science courses or the best data analytics certification are highly sought after. Industries ranging from healthcare to finance and e-commerce are actively seeking professionals who can transform data into actionable insights. This demand has led to the creation of various online data science programs and data science online classes, making it easier for individuals to enter this dynamic field.

Question 33

Can I start my career in data science?

Accepted Answer

Starting a career in data science is feasible and highly rewarding. Individuals from different academic backgrounds can enrol in data science courses to gain the necessary skills. upGrad's data science course online is a great example of a program that prepares students for the industry, regardless of their prior experience. These courses cover foundational topics like data science fundamentals and introduction to data analytics, progressing to more advanced subjects like data science machine learning and big data technologies.

Question 34

Is data science a high paying job?

Accepted Answer

Data science is indeed one of the highest-paying fields. Professionals with a data analyst certificate or a PG in data science are among the top earners in the tech industry. The salary potential increases with advanced qualifications like an MSc data science online or specialised certification in data science. Skills in machine learning, big data, and predictive analytics, often taught in the best data science certification courses, are particularly valuable and can lead to lucrative job offers.

Question 35

What are the benefits of data science course?

Accepted Answer

Enrolling in data science classes offers numerous benefits. These courses provide a deep understanding of data analysis, statistical methods, and machine learning algorithms. Data science certifications, such as those offered by upGrad, equip learners with hands-on experience in real-world projects, enhancing their employability. The skills gained from the best data science courses online are applicable across various industries, making data science professionals versatile and in high demand.

Question 36

How will data science help your career?

Accepted Answer

Data science can significantly enhance your career by equipping you with skills to handle and interpret large datasets, develop machine learning models, and provide data-driven insights. Pursuing a certificate course in data analysis or a data science and data analytics course can lead to career advancement and open up opportunities in sectors like finance, healthcare, technology, and more. The knowledge gained from data science online training and data science certification programs is invaluable in today's data-centric world.

Question 37

What jobs can I get with data science degree?

Accepted Answer

Data science related courses open the door to a variety of job roles in the tech industry. Graduates can work as Data Analysts, Data Scientists, Machine Learning Engineers, Data Engineers, Business Intelligence Analysts, and more. Those with advanced degrees, like an MSc data science online, may qualify for senior roles and specialised positions in AI and big data.

Question 38

What is the career path of a data scientist?

Accepted Answer

The career path of a data scientist typically begins with an entry-level position, such as a Junior Data Analyst or Data Scientist. With experience and continued learning through courses like upGrad's data science online course, professionals can advance to roles like Senior Data Scientist, Data Science Manager, or Chief Data Officer. The journey often involves continuous upskilling through courses related to data science and staying updated with the latest trends in data science machine learning and analytics.

Question 39

What are the subjects in data science?

Accepted Answer

Data science subjects include a wide range of interdisciplinary topics. Key areas include statistical analysis, predictive modelling, machine learning, big data technologies, and programming languages like Python and R. In data science online courses, students also learn about data visualisation and data ethics. Advanced programs, like a data science master's program or PG in data science, may cover more specialised subjects like deep learning, natural language processing, and AI applications.

Question 40

What is the syllabus for 1st year of data science?

Accepted Answer

The first-year syllabus of a data scientist certification course, especially in programs like an MSc data science, typically covers foundational subjects. These include an introduction to data science and analytics, basic programming skills, fundamental statistics, data visualisation techniques, and an overview of machine learning. Certificate course in data analysis often structure their curriculum to gradually build from basic concepts to more complex topics.

Question 41

What programming languages are usually taught in a Data Science course?

Accepted Answer

Programming languages are integral to data science courses. Python and R are the most commonly taught languages due to their wide applications in data analysis and machine learning. Some of the best courses for data analytics may also introduce SQL for database management, JavaScript for data visualisation and Scala or Java for big data processing.

Question 42

Are there any industry-specific applications covered in the course?

Accepted Answer

Yes, many data science degree courses cover industry-specific applications. This can include healthcare analytics, financial modelling, business intelligence, and e-commerce data analysis. Such applications demonstrate the practical use of data science techniques in real-world scenarios.

Question 43

What kind of assessments are used in Data Science courses?

Accepted Answer

Assessments in data science online training courses typically include project work, case studies, quizzes, and exams. Some assessments may also involve hands-on assignments using data science tools and platforms, allowing students to apply their learning in practical tasks.

Question 44

Is there a standard duration for a Data Science course?

Accepted Answer

The duration of data science and analytics courses can vary. Short-term certification in data science and data analysis certification courses might last a few weeks to months, while full-fledged data science degrees, like a data analysis MSc or data science master's program, can span 1-2 years. Some of the best online data science courses often offer flexible timing to accommodate different schedules.

Question 45

Do Data Science courses cover both structured and unstructured data?

Accepted Answer

Yes, a comprehensive data science course with placement covers analysis techniques for both structured and unstructured data. Understanding how to handle diverse data types, including text, images, and complex datasets, is a crucial aspect of data science training and is typically included in the syllabus of best data science certification online.

Question 46

What factors influence the cost of a Data Science course?

Accepted Answer

The cost of online data science degrees can be influenced by factors such as the institution's reputation, course duration, and the depth of the curriculum. upGrad's data science classes may offer competitive pricing while ensuring comprehensive education.

Question 47

How much does a typical Data Science course cost?

Accepted Answer

The cost of a data analyst certificate course varies. Certificate courses in data analysis or data science certifications may be more affordable, while an MSc data science or a full data science degree can be more expensive. Best online data science courses often provide a cost-effective alternative to traditional classroom-based programs.

Question 48

Are there any free Data Science courses available?

Accepted Answer

Yes, free data science courses are available online, offering an introduction to data science and basic concepts. These can be a great starting point for beginners. However, for more comprehensive and specialised training, a paid data science online course might be more beneficial.

Question 49

Do online Data Science courses cost less than traditional on-campus programs?

Accepted Answer

Data science courses online typically cost less than their on-campus counterparts due to lower overhead costs. They also offer the flexibility of learning from anywhere, making them a popular choice for many students.

Question 50

Can I pay for Data Science courses in installments?

Accepted Answer

Many institutions, including upGrad, offer instalment payment options for their data science classes. This makes it easier for students to manage the financial aspect of their education.

Question 51

Is the course fee inclusive of all materials and resources?

Accepted Answer

In most of the best courses for data analytics, the course fee includes access to all necessary materials and resources. This may include lecture videos, reading materials, and access to data science tools and software.

Question 52

What is the refund policy if I decide to drop the course?

Accepted Answer

Refund policies for a data scientist certification course vary by institution. It's important to check the specific terms and conditions of the course you want to pursue.

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