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Tag: data science career

Stop If You’re Looking For A Job-interview Guarantee Data Science Program

Posted on by Imarticus Learning

Introduction

Data is one of the most critical assets in the business world. Every company makes its market and future decisions based on data.

The importance of data and its widespread applications has led to a sharp increase in the demand for professionals who have studied data science. These experts can quickly analyse the data and convert it into meaningful business numbers.

No wonder data science is one of the most sought-after professional courses. Companies are willing to offer high salary packages to individuals with data science training.

A data science course with  job interview is your key to unlocking a flourishing career with endless opportunities

Problems with Available Data Science Programs

Most data science online training programs do not come with guaranteed job interviews. Another problem is the lack of practical sessions for the students to gain hands-on knowledge.

Online availability of learning resources is one of the main requirements, allowing students the flexibility to learn remotely.

Your data science online training module must include a good mix of theory-based and practical training. After all, such courses are meant to leave you future-ready. However, many data science courses are found to lack all these offerings.

What Should You Look Out For?

Selecting a course that provides job interview guarantee in a reputed company is one of the best ways to put your career on the right track.

leadership training programs

If you enrol for a data science course, mere theoretical understanding will not suffice. You need practical knowledge too.

Professional Data science online training and courses will equip you with the following skills:

  • Probability and Statistics
  • Multivariate Calculus and Linear Algebra
  • Programming, Packages, and Software
  • Data Wrangling
  • Database Management
  • Data Visualisation
  • Machine Learning
  • Deep Learning
  • Cloud Computing

What are the Top 10 Reasons to Learn Data Science Course in 2022?

With the rapid digitizations of systems worldwide, data-driven decision-making is gaining momentum. Hence, a profession in data science has become the rage.

Most companies look for talented and proficient employees, no matter how small or large. They seek people who can research the data precisely, thus making it the most alluring job and hot career in any domain.

Here, we have assembled the top 8 benefits data science certification offers in 2022.

  • High Salary.
  • Job Opportunities.
  • Offers Quick Growth.
  • Add Value to the Business.
  • Future Focused Career.
  • Center of Decision Making.
  • Freelancing Opportunities.

How to Select A Data Science Program?

Consider a data science course with job interview, where the central focus is on using data science to build predictive models and real-life applications. It should help you grasp the basic principles of data analytics and machine learning – tools in demand in the market.

The course should, additionally, give you a good enough practical knowledge of Python, SQL, Data Analytics, and more. The course content should always be available for review and learning online, always. It would help to revise the content from any place, anytime. Also, ensure that the data science online training program you choose covers all the necessary topics.

You want to pursue a career in data science but are unsure where to start. The world of deep tech is continually changing, so it’s crucial to stay ahead of the curve by continuing your education. Here are a few factors that will help you choose the perfect course.

  • Define your goals.
  • Do your research.
  • Consider your learning style.
  • Check the credentials of the instructors.
  • Look at the reviews.
  • Make sure the course is updated.
  • Determine the value for money.

Final Thoughts

If you’re looking for an ideal data science online training program, the Imarticus learning program will prove right for you because:

  • The course format is easy to follow.
  • We have more than 300 companies and over 35,000 learners enrolled with us.
  • We provide you with quality career support.
  • Experienced and expert creators and tutors have created each course.
  • We aim to enrich students’ careers by helping them learn new skills.
  • Our fee structure is quite reasonable.

Connect with us through chat support on our Contact Us page. Alternatively, you can visit our training centers located in cities like Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, and Ahmedabad.

Top 5 Trending Jobs In The Data Science Industry

Posted on by Imarticus Learning

Top 5 Trending Jobs In The Data Science Industry

These days, data is the economic fuel. Almost every sector is leveraging data to boost business performance. Data science is the most appealing job profile, with several data science employment options in recent years. According to the US Bureau of Labor Statistics, data science skills will fuel a 28 percent increase in employment through 2026. There is a significant need for qualified data professionals, but there is also a scarcity of skilled data scientists and associated professions.

This post discusses data science career options and the best job profiles in the field. We have discussed the job descriptions and the abilities necessary for those occupations. Let’s get started.

Data Analyst

Data analysts are in charge of various duties, including data visualization and processing. They must run queries on the databases regularly. 

Optimization is a critical ability for a data analyst. This is because they must develop and tweak algorithms that you can utilize to extract data from the world’s largest databases without altering the data.

Their key responsibilities include the following:

  • Data collection
  • Preparation of data for analysis (sampling, cleaning, classification)
  • Look for patterns in data sets.
  • The use of data visualization to show results
  • Create hypotheses to increase specific business KPIs by changing other variables.

Data Engineer

These individuals collect and process data that data scientists and analysts later use. Data engineers oversee database infrastructures, automate retrieval and cleanup operations, and create maintenance algorithms. They make analyzing and interpreting data more effective, safe, and helpful. 

Their primary responsibilities are –

  • Data collection
  • Determine methods to increase data dependability, efficiency, and quality.
  • Use advanced analytics, machine learning, and statistical methodologies.
  • You should prepare data for predictive and prescriptive models.
  • Using data, discover hidden patterns.

Data Architect

A data architect creates and constructs platforms for big data processing to turn data into information that you can use to make business decisions. 

Database Administrator

A database administrator’s job description is reasonably self-explanatory. They are responsible for the correct operation of all of an enterprise’s databases and provide or revoke its services to its personnel based on their needs. They are in charge of database backups and recovery.

Data Scientist

Data scientists must understand business concerns and provide the best solutions through data analysis and processing. For example, they get expected to execute predictive analysis and sift through “unstructured/disorganized” data to provide actionable insights. They can also do so by recognizing trends and patterns that will assist businesses in making better judgments.

Discover a data science career with Imarticus Learning

This certificate program in data science and machine learning helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach students the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Transitioning to Data Science: How To Get There?

Posted on by Imarticus Learning

Transitioning to Data Science: How To Get There?

The emergence of big data has prompted businesses to rely on data to make informed decisions. But how do you make sense of all that data?  That’s where the data scientist enters the scene.

A data scientist collects, analyses, and interprets data to make business recommendations. They do this by using AI, Statistics, and Computer science. They can apply these skills to a wide range of industries such as healthcare, finance, and retail.

The Data science career is an excellent choice for those interested in working with data. And it’s pretty rewarding with the right skills. Whether you want to advance in your career in data science or start, many options are available. One of the most effective ways is through data science courses.

These courses enable students with the right skills and knowledge to succeed. Let’s explore how you can transition with the help of proper data science online training.

Transitioning to Data Science via Applied Learning Courses 

The easiest way to transition to the data science space is to learn the fundamentals of the subject. Consider enrolling in a data science online training program that incorporates applied learning.

This learning method is convenient since students are not restricted to physical classrooms. Also, it offers students the flexibility to learn at their own pace, anywhere, and at any time. 

The learning model in an online environment is flexible and includes various resources. These include videos, lectures, articles, books, and one-on-one interactions with the instructor. Next, let’s talk about what you’ll need to learn in your data science course.

Data Science Online Training Curriculum

To transition into data science, you’ll need to learn the fundamental concepts, including:

  • Statistics
  • Probability Theory
  • Probability Distributions
  • Hypothesis Testing
  • Statistical Tests

These topics form the core of any data science course. Moreover, an understanding of Machine learning and Predictive Modelling is also required. Apart from these topics, you’ll also learn about some essential tools and languages. These include:

  • Python
  • Tableau
  • SQL
  • NumPy
  • Pandas

Combining these tools with fundamental concepts will help you in your data role.

What Makes a Good Data Science Online Training?

So, we’ve considered the curriculum requisites for transitioning into a data science career. Now, let’s examine what makes a great data science course based on applied learning: Faculty from top institutes such as IIT/IIM and other industry experts.

  • Live instructor-led online sessions with access to the session recordings and notes.
  • Online discussion with course faculty and peers to clear doubts and brainstorm.
  • Real-world case studies and live projects to provide insight. These concepts can predict property value, heart disease, taxi fare, etc.
  • Regular assignment assessments to track progress.
  • A Capstone project to collate and present the course learnings.
  • Career support activities, including resume-building workshops and mock interviews for job placements.
  • Startup mentorship and funding for those looking to start their ventures.
  • Certification of completion.
  • Access to an alumni network and a chance for an on-campus immersion program.

A course providing these things will ensure that you learn data science skills and make data-driven decisions. One such data science online training based on the concept of applied learning is offered by Imaticus Learning.

About Imaticus Learning

Imarticus Learning, in collaboration with iHUB DivyaSampark @ IIT Roorkee and the Department of Science & Technology (DST), offers one of the best certification programs in Data Science and Machine Learning. 

Since the program is made especially for the early and mid-level professionals, you’ll understand the various aspects of data science and learn how to implement and apply these concepts to real-world problems. 

Imaticus Learning covers all the points that make for excellent data science online training program, as mentioned earlier. Check out the success stories of those who transitioned into the data science field. Some alumni work with big brands such as Accenture, Capgemini, KPMG, etc.

You can visit the Imarticus Learning website for live chat support. You can also drive to one of their training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Conclusion

As data becomes central to decision-making in organizations, those with the skills to analyze and interpret it will be in high demand. Starting or transitioning to a data science career requires a strong foundation. And to help you with that, you can look for result-oriented data science courses.

Attending these courses helps you develop the skills needed to become a top Data scientist, Data Analyst, Business analyst, Data manager, Business Intelligence expert, etc.

This blog discussed what constitutes a top data science online training program and explored one such institute in Imaticus Learning. Feel free to check it out. Also, let us know your opinion on the necessary things for transitioning into the data science career.

The Rise of Data Science in India: Jobs, Salary & Career Paths in 2025

Posted on by Imarticus Learning

The Rise of Data Science in India: Jobs, Salary & Career Paths in 2025

Read on to find out about the increasing demand for Data Scientists in 2025 as per the latest study by Analytics India Magazine and Imarticus Learning.

Data science is in demand, with 80 percent of companies investing in it worldwide. Organizations widely adopt data science, machine learning, deep learning, and artificial intelligence in the current market scenario. That makes data science important in preparing for changing job markets.

Technology, healthcare, automobile, education, etc., use data science to get ahead in business. They explore unknown data, identify data patterns, and predict future trends.

India’s share in data science and analytics jobs worldwide has increased to 11.6 percent due to the digital transformation across domains. That makes data science a lucrative career.

What is data science?

Data science is a discipline that sizes, shapes, and analyses data. Machine learning in data science is a subset of data analysis. The field is primarily concerned with discovering patterns or making predictions from data. That is the reason businesses interpret data to make efficient decisions. 

Data science is a compatible career choice for people who want to pursue a professional career in dealing with data. It also provides opportunities for people with a business background to apply their knowledge from past jobs to solve problems in different fields of work.

Why should you choose data science as a career?

There are numerous advantages to pursuing a career in data science. We’ve compiled a list of reasons why you should opt for a career in data science and analytics.

A lot of work opportunities.

As we enter our second pandemic year, we have seen people laid off from renowned companies worldwide. Yet, data scientists are in high demand in workplaces and earn the highest median salary out of all the data science and artificial jobs. During the pandemic, the data science sector also saw a remarkable growth of 30.1 percent in April 2022. 

High-paying Salary

Whether you’re just starting in data science and artificial intelligence or have some experience, a competitive remuneration package is critical to your success.

Data science and machine learning job profiles are among the highest-paying job roles in the current market scenarios. 

As per the AIM and Imarticus learning report, India has seen a significant jump in the salary brackets. The number of jobs falling in more than 50 lakhs salary bracket has increased to 20 times. As a result, more professionals are opting for data science and machine learning courses.

Data Scientists are in demand

Data science has become an in-demand skill, and many organizations are adopting it. Data analytics has been adopted by nearly every industry on earth due to its ability to predict trends for customers and employees within the company itself.

From data scientists to data analysts to machine learning engineers, companies need them to apply data science in the company. With more companies adopting data science and more people learning about the potential, the demand for data scientists has been rising.

Easy Career Advancement

Data science is not only restricted to being a data scientist. You can also explore other branches like deep learning, machine learning, artificial intelligence, etc. Climbing up the ladder is easy if you deal with any data interpretation role. 

Extracting information from data is the foundation of taking important decisions in the company. So, when handling any data interpretation role, you play a vital role in strategic decision-making. That’s how you could quickly grow in different business functions and advance your career.

The scope of data science and machine learning is clear. High-paying jobs and career growth are appealing. Everything contributes to data science’s positive outcome, from the salary to job roles to growth. 

Undergraduates or even experienced professionals can learn data science, machine learning, or artificial intelligence by enrolling at an institute. 

You can register for Imarticus learning’s data science and machine learning course and can learn the concepts quickly.

Their program is designed to address industry-relevant learning needs and help professionals build successful careers in data science.

Download the full report here. 

Techtrek In 2022: Here’s How Data Scientists Successfully Adopt The Data-Driven Culture

Posted on by Imarticus Learning

Techtrek In 2022: Here’s How Data Scientists Successfully Adopt The Data-Driven Culture

Given the enormous volumes of data created today, data science is an essential factor in many sectors and is one of the most debated issues in IT. Since data science has become increasingly popular, businesses have begun to use it to expand their operations and improve consumer happiness. 

The field of study known as data science works with enormous amounts of data using cutting-edge tools and methods to uncover hidden patterns, glean valuable information, and make business choices. Data science creates prediction models using sophisticated machine learning techniques. This post will explain how data scientists successfully adapt to the data-driven culture.

The Benefits of a Data-Driven Culture

Having a data-driven culture that propels the company forward has several benefits. 

Organizations are encouraged to use reliable data when making choices by a data-driven culture. For any organization, interpreting data and exercising critical thinking are essential. However, a data-driven culture aids businesses in determining when to and when not to make decisions based on data.

It is accomplished by continuously monitoring performance and plays a significant part in continuous improvement inside the organization. Additionally, it aids in the advancement of analytically-based business choices. Organizations may move away from utilizing data only to generate reports and measure their development with the aid of a data-driven culture. 

The Challenges of Implementing A Data-Driven Culture

Despite the increased investment, many businesses find it challenging to keep their data strategy moving forward. According to a recent report, 72% of significant companies have failed to establish a data-driven culture.

Although many organizations invest more and more resources in their data strategy, successful plan execution gets frequently hampered by large organizations’ sheer size and complexity.

It’s crucial to ensure that data and analytics are available in a tangible, intelligible manner and can immediately connect with the operations they perform and their choices to improve analytics adoption.

Teams that want to succeed should frequently allow end-users some liberty by putting the proper technologies in place to provide self-service analytics that considers local complexity.

Future developments in IoT, AI, big data analytics, blockchain, and quantum computing will be incredibly significant.

Explore a data science career with Imarticus Learning

Students may start in data science and machine learning with this certificate program. Students will master the fundamentals of data science and machine learning through this curriculum, developed in partnership with iHUB DivyaSampark @IIT Roorkee, and acquire the knowledge and abilities they need to apply these concepts to problems in the real world.

Course Benefits For Learners:

  • This five-month program, developed by renowned IIT faculty members, will instruct students in using Python to comprehend data mining and machine learning methodologies.
  • The data science certification course will be live via online sessions with India’s best educators.
  • With the help of this data science online training, students will be able to develop a solid foundation in data science.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

The Perfect Guide To Understanding The Data Science Career Path

Posted on by Imarticus Learning

The Perfect Guide To Understanding The Data Science Career Path

India is rising and shining brightly when it comes to adopting new and emerging technology. Almost every significant industry segment recruits data science specialists to help them gain meaningful insights from massive data. The analytics sector has seen considerable demand for highly qualified employees who understand business and technology. Organizations nowadays are always on the hunt for specialists who can cover this ever-growing talent gap.

What is data science?

To develop insights from data, data scientists mix probability, statistics, and machine learning with domain expertise. These insights range from forecasting outcomes and trends to displaying linkages and patterns.

Data science impacts practically everything we encounter, from tailored playlists to shopping recommendations to illness diagnoses. Data scientists are also pioneers in developing self-driving vehicles, chatbots, and our data-driven environment.

A Career Path of Data Science Professional

Many data scientists have difficulty locating data science profiles and determining whether their skills match the job description. Because this is a relatively new industry, most organizations are imaginative regarding titles and career routes. This is also since these titles have no apparent precedent. Data science careers are expanding rapidly, with numerous vacancies across all industries. 

How do you begin a career in data science?

    1. Get educated – A good data scientist must have a solid math and statistics foundation. Getting extra education is essential if you’re not strong in these areas.
    2. Start playing with data – Use publicly available data sets to practice your data wrangling, analysis, and visualization skills.
    3. Get involved in the community – The data science community is vibrant and supportive. There are many online forums where you can ask questions and get advice from experienced data scientists. Community involvement will help you learn and grow in your career.
    4. Find a mentor – A mentor can be a great asset in your data science journey. Find someone experienced in the field who can help guide you as you learn and grow in your career.
    5. Keep learning – As a data scientist, you must continuously learn new techniques and tools. Many excellent resources are available, such as online courses, books, and blog posts.

Explore a data science career with Imarticus Learning

Students may start in data science and machine learning with this certificate program. Students will master the fundamentals of data science and machine learning through this curriculum, developed in partnership with iHUB DivyaSampark @IIT Roorkee, and acquire the knowledge and abilities they need to apply these concepts to problems in the real world.

Course Benefits For Learners:

  • This five-month program, developed by renowned IIT faculty members, will instruct students in using Python to comprehend data mining and machine learning methodologies.
  • The data science course will be live via online sessions with India’s best educators.
  • With the help of this data science online training, students will be able to develop a solid foundation in data science.

Why data science certification courses are gaining popularity

Posted on by Imarticus Learning

Why data science certification courses are gaining popularity

Date Science was coined in the 1960s to interpret data and make statistical sense of it. Back then, there was also almost no focus on using the branch of study for predicting future trends. 

However, the field of data science has seen massive advancements over time, making it one of the most promising domains in terms of job prospects and career growth. Businesses generate huge volumes of data daily that must be analyzed and interpreted. This highlights the importance of having high-quality data and understanding how to analyze it to make data-driven business decisions.

So, how did this happen? Why are so many people interested in learning data science today? Why is there such a buzz around data science certification courses? Let’s find out the answers to all these questions!

Who is a data scientist?

A data scientist is somebody who makes use of statistical techniques and programming languages along with industry knowledge to translate datasets into meaningful information. This information derived from huge volumes of data lays the foundation for various critical business decisions which can be used for workforce planning, production capacity, marketing strategies, etc. It’s not just about analytical skills; data scientists also combine the best social skills to uncover trends. Additionally, they must have excellent communication skills to communicate their data-driven insights to the organisation accurately.


Why are data science certification courses gaining popularity?

Several factors contribute to the increasing popularity of data science courses not only in India but also around the world. The following are the main reasons why a majority of people are subscribing to them:

Lucrative salaries 

Data science job roles are highly lucrative. Even entry-level data science positions pay nearly Rs. 7 Lakh per annum. In contrast, the country’s median annual salary for data science professionals stands at Rs. 16.8 Lakh. According to a recent Analytics India Magazine report, around 1,400 individuals employed in data science roles in the country earn more than Rs. 1 Crore annually!

Helps develop meaningful skills 

Not everything you learn for a profession applies in real life; however, this is not the case with data science. The analytical and decision-making skills you develop to become a data scientist are pretty practical and helpful in day-to-day real-life scenarios.

High job security 

With the advent of emerging technologies, many professionals risk being replaced by advanced technologies and software. However, the nature of the job of data science professionals is such that they cannot be easily replaced with technology even after the significant evolution of Artificial Intelligence as they serve as the fundamental link between human interactions and technology.

Surging demand 

There is no denying that data is the new oil for the world. This is highly evident in the growing demand for data scientists. Alone in India, the demand for professionals in the data science field has seen a yearly increase of 30.1% in April 2022. 

Steep Career Growth 

Data science knowledge not only helps you grasp data insights but also equips you with decision-making skills, which prepares you for critical leadership roles in the organisation in the future and adds a steep upward trajectory to your career graph.

 

How does Imarticus Learning’s Certificate in Data Science Program help you?

Imarticus Learning’s Certificate Program in Data Science and Machine Learning is a 5-month introductory course meant to equip you with the basics of the field. Under this course designed by the IIT faculty, you learn how to mine data along with mastering Python programming for using ML tools. It also introduces you to the world of SQL and Tableau. 

The course has been scheduled on weekends in an online mode. Therefore, it is conveniently accessible to individuals from all walks of life, be they students or working professionals looking to enhance their skill sets.

Wrapping up

Students, recent graduates, working professionals, or retired individuals who wish to learn data science and make a career out of it can enrol in our weekend-special fundamental course and upskill themselves. Data science has immense opportunities to offer both in terms of monetary and professional growth. You can pursue it as a full-time working professional or even take it as a highly-rewarding freelancing gig.

You can even combine it with your existing skill set in your current role, as no field today is untouched by data and its impact. By doing this, you will not only earn a handsome salary, but you will also remain in demand when nearly all operations become tech-savvy in the future.

Are you looking for professional advice? Feel free to contact us through chat support or visit our nearest training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

The role of Mathematics in learning Data Science

Posted on by Imarticus Learning

The role of Mathematics in learning Data Science

Advanced Mathematics is not about number crunching. It is more focused on telling the reason behind things, the systematic processes which make concepts a reality. And due to this, Mathematics plays a crucial and irreplaceable role in the field of data science.

Thus, if you aspire to learn data science to make a career in the field, you must have a strong understanding of mathematical concepts. You must be well equipped with pattern identification and designing algorithms if you look up to a data science career.

Besides defining a systematic approach, Mathematics is also necessary for learning the latest and most commonly used technologies in the field of data science, such as Machine Learning, Deep Learning, and Artificial Intelligence. This is because all these technologies derive their foundation from Mathematics.

We at Imarticus Learning offer a Certificate Program in Data Science and Machine Learning which helps you not only understand the concepts of data science but also help you build a stronghold on the mathematical concepts you will require during your data science career journey. Our course focuses on the mathematical branch of Statistics, which forms the basis of all data science tools and concepts.

Mathematical Concepts Which You Must Know As A Data Scientist

Following are some of the key mathematical concepts which you must be well versed in if you aspire to a data science career:

  • Probability

Probability refers to the mathematical concept that lets you evaluate the likelihood of an event. It comes in really handy for making future predictions based on data sets using the latest technologies like Machine Learning. As a data scientist, probability helps with the reasoning for your decision-making.

A large number of real-life data problems are solved by data scientists with the help of probability and its allied concepts like Baye’s Theorem and Theory of Central Tendency.

  • Hypothesis Testing

Hypothesis Testing refers to the statistical concept of testing a hypothesis concerning the assumptions made for a population parameter such as its mean, variance, etc. Data scientists use hypothesis testing in several real-world data problems, such as finding the average order value for an e-commerce website or how much fuel wastage is avoidable by a petrol pump.

It also allows data scientists to make reliable predictions, such as how much an investor can expect in return from a financial instrument. As an aspiring data scientist, you must clearly understand concepts like null and alternative hypotheses, p-value, test statistics, and significance levels. 

  • Linear Algebra

Data scientists use linear algebraic concepts of matrices and vectors to speed up their analysis processes. Linear Algebra also finds its basis in Machine Learning and Deep Learning. It allows you to model complex algorithms and represent complex data in a simplified manner for easy data interpretation and decision-making.

  • Calculus

Calculus plays a very fundamental role in developing forecasting models for data scientists. If you aspire to make a career in the field, you must understand how the derivatives of a function work. However, the good part is that, unlike in school and college, you need not do the algebraic calculations for calculus manually because, as a data scientist, you can use computers and other advanced technologies for solving differential equations.

  • Regression

Regression is a statistical concept that lets you estimate the relationship between various dependent and independent variables. It finds an in-depth use in the field of big data for estimating trends and forecasts. Some real-life examples in which data scientists make use of the concept of regression are the estimation of demand and supply, inventories, sales figures, etc. 

Our Certificate Program in Data Science and Machine Learning not only equips you with the above-mentioned mathematical concepts but also introduces you to the concepts of machine learning and data visualisation along with programming languages. In addition to the diversified yet focused curriculum, we also provide career services such as resume building, mock interviews, and Capstone Project. 

Take Away

Data Science is one of the most promising fields of the future regarding job prospects and career growth. And this is the reason why programs in data science certification in India are becoming highly popular. 

According to the latest Analytics India Magazine report, around 1,400 data science professionals in India earn more than Rs. 1 Crore annually! And with the advancement in technologies and the growing importance of data for analysing consumer behavior, the demand for data scientists will only grow in the coming times. 

Are you looking for some professional data science career advice? Contact us through chat support or visit our nearest training centres in Mumbai, Thane, Pune, Chennai, Bengaluru,Gurgaon and delhi.

2022 Data science job trends, careers and industry insights

Posted on by Imarticus Learning

2022 Data science job trends, careers, and industry insights

Without data, everything is just an opinion. And business decisions are not made on opinion; they are made based on facts and details. This is where a data scientist enters the business realm. 

But, what is data science exactly? Well, data science is the study of large volumes of data using advanced technology and programming tools to extract meaningful information from them. These data points serve as the foundation for making both primary as well as key and strategic business decisions.

Today, data scientists are quite high in demand in the job market. This can be primarily attributed to two reasons – the growing shift of businesses to the digital space and rise of the consumer behavioral analytics. 

Suppose you also want to ride this wave of growth in the space of data analytics. In that case, you can learn data science by getting enrolled in our Certificate Program in Data Science and Machine Learning and saying yes to your data science career dreams!

Top Data Science Job Trends and Industry Insights 2022

If you aspire to make a career in the field of data science, you must keep your skill set and knowledge base updated for the following job trends in the domain –

  • Demand For Data Scientists Increased by Over 30%

The demand for data scientists in India increased by 30.1% in April 2022, as compared to the last year. With this, India’s share in the global demand for data scientists increased from 9.4% in 2021 to 11.6% in 2022.

  • BFSI Sector Emerged as the Biggest Employer for Data Scientists

In FY2022, the BFSI sector accounted for the highest demand (26.6% ) for data scientists in India, according to the latest Analytics India Magazine (AIM) report. After the BFSI sector, the e-commerce and internet space hired the largest number of data scientists in the country.

  • Bengaluru – The New Hub For Data Scientists

The city of Bengaluru created the maximum number of Data Science jobs in India in 2022, with as many as more than 51,000 positions. This can be attributed to the city’s bent on the IT sector and the presence of several emerging startups and unicorns there. After Bengaluru, Delhi-NCR registered the highest number of data science jobs.

  • Employers Prefer Engineers Turned Data Scientists

In 2022, the majority of Individuals who got hired for data science job roles belonged to the engineering stream. As high as 56% of them were engineering undergraduates, and 25.9% were engineering masters. Non-engineering undergraduates comprised 35.2% of the sphere, whereas MBAs accounted for 17.4% of the hires.

  • Most Popular Data Science Designation – Business Analyst

As many as 39% of the data science jobs which were advertised in 2022 came with the designation of ‘Business Analyst’. The second-most popular title in the space, appearing in 34.6% of the job openings, has been that of ‘Data Engineer.’

A Sneak Peek into Data Science Careers

To bag a job in the data science domain, you need to have a good mix of both technical and non-technical skills.

Top Technical Skills For Data Science Career

Today, organisations are hiring individuals who are not only good at evaluating data using basic data analytics software but who can also automate them using augmented analytics technologies like Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP) for real-time insights.

You must also be well equipped with programming languages like C++, Python, R, Java, and SQL and data visualization tools like Tableau to get your desired data science job. Knowledge of platforms like Hadoop and Apache Spark is also a plus.

Top Non-Technical Skills For Data Science Career

Just being technically sound is not enough; you must also possess the following non-technical skills to make a career in the field of data science – 

  1. Analytical skills
  2. Ability to work and collaborate in a team
  3. Good communication skills to translate your understanding of data to the stakeholders

Final Words

Data Science has been touted as the future of jobs, not only in India but all over the world. 

According to the latest Mckinsey report, almost all organizations will become data-driven, becoming a default setting. This indicates that in the near future, the reliance on data and the need for data scientists will only be a steep upward curve. So, if you wish to make a career in this emerging and growing field, you must start now and get a data science certification in India.

For detailed guidance and advice on the data science course, contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Why Certificate Programs In Data Science Are Gaining Popularity

Posted on by Imarticus Learning

Why Certificate Programs In Data Science Are Gaining Popularity

Data science has emerged as one of the most aspiring career options in recent years. Moreover, with the availability of specialised courses and companies understanding what data analysis can do to their business, this is now a profession that is desired by many.

But why has the data science career become so popular in recent years? Well, to understand that, you need to get acquainted with the idea of data science first.

What is Data Science?        

Data science is the scrutiny of data through various methods, which include manual as well as the use of different software. The main aim here is to analyse and understand the pattern in a set of data and use it to the company’s advantage. Now, this advantage can be anything, starting from developing a new product to rectifying the gaps in the new one.

A data scientist’s job is to extract the raw data, clean it and present it in a simpler manner. In this regard, a data science course enables a person to examine large amounts of raw and unclean data by processing and extracting information from it.

Why is Data Science Popular?

Here are some reasons why a data science course is so popular nowadays –

  • It is everywhere

The presence of data science is everywhere. From banking and finance to healthcare, from disaster management to education, and from e-commerce to retail, you will see data science in each field. Today, you will see data science in the entertainment industry also. Information technology is evolving, thanks to data processing and examination. Big data and cloud computing have changed the data science game entirely.

 

This is the reason why every student today is choosing a data science career.

  • The field is hot, and the pay is hotter

The salary in the data science field is great. After five years, the pay grade will get even better. Data science will be here for the next two decades at least. So, the salary will keep on rising because its popularity will surge even more. No wonder it has become a lucrative career option. According to Glassdoor and other job websites, data science continues to be one of the highest-paid fields in 2022? The reviews of data science careers are so positive, and the income growth is stupendous. That is another reason why certificate data science courses are becoming increasingly popular.

  • Low entry barrier

Full-time data science courses have age and academic eligibility. You also need to have a STEM background for most of the programs in top colleges and universities. Certificate data science courses don’t discriminate much and give everybody who’s interested a fair chance to become a data scientist. This can also be a reason for the growing popularity.

  • Better PCs, cloud computing and open-source frameworks are changing the game 

Although data science does not require a heavy computer these days, still a computer with good RAM and GPU is a must for data science. In earlier days, such heavy-duty PCs cost a bomb. On top of that, the PCs then were a far cry from what they are today. The PCs also cost a lot less these days. This is indirectly promoting data science.

Another reason is the increase in cloud computing. You don’t need a more powerful local server and a large storage capacity. The cloud is almost infinite for this matter. Also, open frameworks like Tensorflow and PyTorch have made the cumbersome job easier and more enjoyable. Everything is breaking the convention these days.

  • Certificate programs are shorter and cheaper than regular data science courses

Although full-length data science programs are the best choice, not everybody can complete a full-length course. The reason behind this is the lack of time. A regular college student has time on his/her hands, but a working professional doesn’t. That is the reason why certificate programs in data science are becoming immensely popular. 

Final Words

Considering the popularity of data science and what it can be in the coming years, it is fair to assume that the demand for a well-trained and skilled data scientist will be significant. So, if you plan to make the most of this opportunity, then enrol for a data science online training course by leading education institutions like Imarticus.