Upcoming data and analytics trends in 2022

Data-driven decisions are the norm for today’s tech industry, and there is a subsequent demand for employees skilled in data analytics. Insights without actions are a thing of the past, which is why young professionals are turning to data analyst certification courses in addition to their education. The data and analytics trends shaping 2022 are insights and their necessary actions, real-time data analysis and decision-making, and implementation of artificial intelligence and machine learning, among others.

Why is it Important to Keep Up with Data and Analytics Trends and Learn Data Analytics?

Simply put, such courses help professionals stand out and have a better chance at job interviews. You would probably agree that choosing the right data analyst certification course is a top priority, as there can be courses that still comprise an outdated syllabus. You would want to learn data analytics from a course that encompasses the current trends in the market, and that’s how it should be.

Let’s look at some upcoming data and analytics trends to help you find the right data analyst certification course.

AI-powered Analytics

Artificial Intelligence (AI) has been gaining importance every year in each field, and data and analytics are one of the fields that stands to gain tremendously from its implication. AI has significantly improved decision-making quality by providing access to novel data sources. Amounts of data amassed by companies are forever increasing to know more about their target customers, making it challenging to analyse all of it correctly.

Machine learning (ML) and AI are powerful technologies that allow organisations to make the most out of valuable insights resulting from vast amounts of data. While these technologies are necessary now, they will soon be an essential part of organisations in the coming years. The number of organisations leveraging AI and ML will increase as they look to identify patterns, boost sales, and improve efficiency.

Data Fabric

Transforming current models into data fabric models allows businesses to store, locate, and leverage customer data more effectively. It serves as a robust framework to standardise an organisation’s data management techniques and provides consistent capabilities in multi-cloud environments. With constantly increasing data complexity, businesses will resort to this framework. This framework can reuse and combine various integration styles, technologies, and data hub skills.

The data fabric model significantly reduces maintenance, design, and deployment, lowering system complexity. Its comprehensive approach makes for more relevant customer experiences. Businesses get simplified access to more significant amounts of data, which means more informed decisions regarding customer behaviour and interactions.

Real-time Data Processing

Organisations want to act quickly, and who can blame them when a day later might be too late? Whether it pertains to developing a marketing campaign or something else, real-time data processing and decision-making are a couple of essential aspects within this list of data analytics trends. Businesses can no longer rely on or utilise data sets that are analysed monthly; this is how they stay ahead of the competition these days. There is a need for constant and continuous analysis of data sets in a bid to uncover underlying patterns or changes in customer behaviour.

Real-time data processing and decision-making require newfound adaptability and agility for teams to act on time and seize opportunities. The focus on real-time data processing, analysis, and decision-making will continue as businesses want to respond to changes as they arise to stay ahead of the competition.

Agile and Composable Data & Analytics

Composable data and analytics infrastructure have unmatched potential in terms of scale. The reasons for the popularity of composable and agile data and analytics are comprehensive resource management choices and automation options. Composable infrastructure helps speed up crucial business processes while also circumventing overprovision problems.

The data fabric model acts as the foundation required for agile and composable data and analytics. Capabilities such as driving DataOps and processing hardware are significantly improved, with reduced costs, by only providing data as needed and moving data to other storage systems.

Conclusion

Data and analytics aim to create a flexible, friendly, and smooth user experience by leveraging technologies such as AI and ML. The above data and analytics trends enable team leaders to connect their actions to the insights they receive, promote productivity and agility, encourage inter-departmental collaborations, and enhance the organisation’s analytics capabilities.

For those wondering how to become a data analyst, take a look at this data analytics certification course by Imarticus Learning. This data analytics certification course encompasses a vast syllabus with the latest data and analytics trends, specially designed to provide aspiring professionals with current industry practices and skills.

A Python Certification That Will Change Your Perspective On AI

With the progression of Python as a machine language, it has become one of the most sought-after in organizations in terms of software development. There are millions of users, who use Python as a programming language, specifically the new-age companies like Netflix, IBM, Amazon, etc. Also, with the emerging demand for Artificial intelligence (AI) as well as Machine learning (ML) in the mainstream industry, Python has become a convenient medium to learn the algorithms related to AI and ML. This is mainly due to its ability to provide in-depth learning for developing strategies around enterprises. 

This upcoming demand for Python in terms of AI and ML has led to the creation of various comprehensive programmes to learn Python online. Today almost everyone in the commercial space is seeking to upgrade their concepts using Python apart from AI like Artificial Neural Network, Natural Language Processing (NLP), K Means Theorem, Naïve Bayes Theorem, etc. This has also led to the development of many AI courses as well as Machine learning certification courses with Python as the core programming language in these courses.

Why Should You Opt for a Python Certification? 

Python, as one of the easiest and beginner-friendly languages, has been around for about 30 years now. Its age in the field might be misconstrued as the reason for it to become potentially obsolete, but it shall be a total misunderstanding to adapt such a notion about it. If anything it can adapt the most complicated codes in the easiest way possible and that probably is the reason why it is still around and here to stay for a long time. 

A Python certification has become almost a necessity and an ideal step towards advancing your career. This is because most of the companies involved in AI and ML today, regard it as the de-facto for ML and AI in the industry. A Python certification reflects well in terms of proficiency in your background. It also shows your strength in programming and software development as Python is arguably the most preferred language when it comes to building top-notch tools and resources in the community.

Also, one of the most essential reasons to choose a Python certification for AI and ML is that it can change your perspective about how complicated these technical skills are. Most artificial learning projects have the base of Python but because Python is one of the less-complicated commitments towards learning AI and ML, hence it proclaims to ease your way as a developer.

What does a Python Certification Offer?

A Python certification can offer a varied range of technical knowledge to its learners. Let us look at some of the important features:

• It can help you to build applications that have their base on the algorithms of deep learning.
• You can learn how to deeply enforce AI to build arcade games.
• You shall be able to build highly supervised models based on machine learning algorithms.
• Most Python certification offers to learn Artificial Intelligence to build intelligent operators like face-detectors and solve the community problems in the world.
• It also offers learning techniques of neural networks to fathom the understanding behind object tracking and detection.
• It also offers a practical approach to implementing realistic projects and deeply enhances your skills by providing an overview of realistic insights on AI and ML.

Apart from these essentials, a Python certification has the potential to offer a lot more descriptive learning which depends on the type of certification that you opt for. There are many python certification courses that you can opt to do online.

Who Should You Do a Python Certification Course?

The following people can take the most advantage of an online Python certification course as per the experts in the field:

• If you’re a working professional in the field whose intention is to upgrade your careers in analytics, ML, and AI.
• The professionals who are indulged in the Big Data or data science domain.
• If you are a professional who is working in Management Information systems (MIS).
• A Python certification course is also suitable for budding entrepreneurs who want to take a shot in the industry.
• It is also suitable for you if you are a fresh graduate or even a mid-level manager in your company.

The scope of Python certification has widened with the up-gradation of the language. With time this inexpensive course can give an edge to your career and introduce a whole new world of AI and MI that you may have not witnessed before.

A python certification is important for you to be well-adaptive and relevant to times. In this fast-paced world, especially with data analytics and digitisation coming into the picture, upgrading yourself with the required skills is needed for you to step ahead in the future.

7 Data analytics tools that will make your life easier

The world economy and its database are growing exponentially and at times it becomes very difficult to keep a record of all the data. To analyse all the data is even way more difficult. This is where the use of Data analytics tools comes in. Data Analytics Tools are those software and programs that help the firms in the proper and systematic collection of data. It then arranges the data and the firm uses the data according to the requirement. With proper data management, the firm can also make decisions more effectively. This will in turn lead to an increase in profit margin. 

Why is it essential to learn Data Analytics Tools?

There are many reasons to be enrolled in a data analyst certification course.  Among many, a few of those are stated below –

• It helps to arrange the data in a more organised manner. 
• It helps the firm to operate more effectively.
• The tools help in analysing the market in a better fashion. 

 

Different kinds of Data Analytics Tools

There are various kinds of Data analytics tools but the frequently used ones are stated below – 

Excel –

Excel is the most used data analytics tool in any organisation. It arranges the data in a tabular format which helps the comparative analysis easier. Line graphs, histograms, pie charts, and other various graphs can also be used for diagrammatic representation. It is the easiest data analytics tool out of all and is used by almost everyone. 

R –

R is a data analytics tool that is widely used by Statisticians. To use R, one has to have an ample amount of knowledge about coding. R has various built-in packages which help in performing statistical analysis. In R, the graphical libraries that are available are Ggplot2, ggvis, plotly, and a few more. It helps in creating a better data visualisation. R is an open-source programming language hence it does not provide any customer service. Although it has online community support where your problems can be addressed. Ford, Facebook, and Paytm are some of the companies that use R programming.

Statistical Analysis System (SAS) –

SAS is commercial software that is used to analyse and report data. The use of SAS is easy and thus can be used by beginners.SAS is one of the oldest data analytics tools. Data visualisation and advanced analytics cannot be done in SAS. SAS is very flexible and it also supports data encryption algorithms. SAS provides all-time customer service because it is a costly software. Besides, it also provides online community support to solve the problems. SAS is used in predictive analytics, advanced analytics, and data management. Netflix, Prime Video, Dell, HP, YouTube, Twitter, and Cognizant are some companies that use SAS programming.

Python –

Python is a high-level programming language. It is used in web development, big data analytics, data science, game development, and many more. Some of the Panda libraries are Pandas, Scikit-learn, PyBrain, Keras, MILK, NuPIC, Ramp, Theano, and many more. Python is an open-source programming language and hence it provides no customer service. Although, it provides online community support to solve the problems raised. Flipkart, Amazon, Google, YouTube, Twitter, and Facebook are some of the companies that use python programming. 

Conclusion

It is thus very obvious that being an expert in working with data analytics tools is very necessary in today’s world. The data analytics and machine learning course from Imarticus can be helpful for you to achieve your desired goal and learn data analytics.

The course highlights are an assured placement program, leading-edge curriculum, industry-specific case studies, and guaranteed interview opportunities. This course will guide you on how to become a data analyst and will fully prepare you for the corporate world out there.

Data Analytics can be easy to learn, here’s how.

In today’s world where we’re surrounded by data everywhere, the demand for data analytics is limitless. Every industry and sector in the world is utilising data analytics to grow its business. Data Analytics is the process of drawing meaningful conclusions from huge piles of data that can help companies to strategise their business. Learning data analytics will open the doors of opportunity to become a data analyst or data scientist. Knowledge of databases, SQL, SAS, BL tools, Data wrangling, and mining is necessary to learn data analytics for making a career as a data analyst. 

Steps To Learn Data Analytics 

Knowledge of statistics and maths

To learn data analytics one has to be well acquainted with the concepts of maths and statistics as the algorithms and models associated with data analytics are based on statistical problem-solving approaches.

Knowledge of Python and R

Python and R are programming languages used to convert mathematical knowledge into scalable computer programs. Python is used for wrangling big volumes of data and R is used for building statistical models.

Learning about Database 

Knowledge of database technologies like SQL is very important for storing, modifying records, and creating tables and views of the data you’re working with.

Data Analysis Methods

Cluster analysis, time series analysis, cohort analysis, and regression are some of the data analytics techniques that are used for analysing datasets.

Data Analytics Courses 

There are many learning institutes in India that provide Data Analytics Online Training courses that aim at providing a high-quality learning experience. These institutes are in conjunction with various premier universities from various corners of the world to formulate a curriculum that can help in preparing and developing a tech-driven society. 

Imarticus is an institute that focuses on providing tech learning to both individuals and as a corporate through its data analytics online training.  They offer programmes like  PGA Imarticus (post-graduate programmes in Data Analytics and Machine Learning), and some of the best data analytics certification courses like IIT Roorkee Professional Certification in Data Science and Machine Learning, Certification in Artificial Intelligence and Machine Learning, and Professional Certification in Supply Chain Management and Analytics.

Benefits of Learning Data Analytics as an Individual 

Identify Career Prospects 

The data analytics institute helps the learners in identifying a suitable career choice that has a high probability of scope of success in the near future. They help in designing a career plan which involves exploration of your skills and interests and enables you to make better decisions for your career. 

Improved Employability 

The data analytics curriculum makes you a desirable candidate and increases your chances of getting a job. It sharpens your soft skills along with your knowledge of data and provides experienced and trusted career advice that can guide you in the process of job seeking. They have a great percentage of placement records and will also assist you in making an impressive cv.

Best Training and Skill Development 

Learning data analytics courses makes you well acquainted with various data science tools and develops your understanding in the areas of machine learning, data mining, and prediction throughout the curriculum. The institutes assign mentors who ensure fast and effective learning and skill development which will help build your career. 

Customized Career Plans

Many data analytics training institutes help in suggesting personalized career plans that will help you in your professional growth. They enable the scope for exploration of one’s own strong and weak points, measurement of their progress, and reevaluation of growth to structure a plan that will take them to their goals.

Industry Recognised Certifications 

These institutes also offer the best data analytics certification course recognised by industries. On completing these courses, they provide an industry-recognized certificate that adds value to your portfolio and increases your chances of getting desirable job offers.

Conclusion

Data analytics is a very essential element in every sector and it is important to choose a good institute to learn data analytics as they offer a high-quality learning experience and assistance from an accomplished faculty and experienced management team. 

Landing a data analytics job-interviews as a fresher: What I’ve learned

Introduction

Trends in today’s industries show that data-driven organisations consistently outperform their competitors. So for businesses, hiring data experts is a growing priority. Data analysts are in high demand, which puts newcomers in a great position. Jobs are emerging and if you have mastered the right skills and can demonstrate your expertise, you can land a data analytics role. Yes, it is possible to get hired as a data analyst even without any previous experience. You need to learn the necessary skills and start marketing yourself as a data analyst. Learn how.

Data Industry

Today, the digital world is driven by big data. It is estimated that by 2025, the volume of global data will touch 180 zettabytes. In January 2020, India alone contributed 9.4% of the world’s total global analytics job openings. Every industry and sector in the world is dealing with vast amounts of data and using data analytics to grow their business. Data-driven businesses consistently outperform their competitors, so it’s a priority to hire logical data experts across industries.

The global big data analytics market size was $240.56 billion in 2021. It grew to $271.83 billion in 2022 and is projected to grow to $655.53 billion by 2029 at a CAGR of 13.4%. This rapid growth in the data industry is creating big demand in the data analytics job market. The number of skilled data analysts is increasing to cope with the demands of data manipulation.

Data Analytics

Data analytics is the process of deriving meaningful conclusions from a vast pool of data that can help companies strategise their business better. The role of a data analyst is to process various types of data about a product, customer, or company, making it relevant for business decisions. Key information processed by data analysts through analytical principles and algorithms helps organizations customize their offerings to stakeholders and customers, and design marketing strategies and business processes.

Data Analyst Role

A fresher can take up a data analyst job provided one learns business processing techniques and the required skills. For starting a career in data analytics, the following steps are recommended:

• Get certification – Enroll in a prestigious, project-based course thoughtfully designed with the needs of today’s industry in mind.

• Build your data portfolio – Highlight your accomplishments in the field. Also, showcase your volunteer data skills with what you’ve contributed to data forums and the community.

• Bank on your transferable skills – Your core skills, such as the analytical skills you acquired during your degree, presentation of data insights, and use of basic analytics tools also add value to your data profile.

• Identify and enhance the basic skills – Knowing Microsoft Excel is necessary. You can emphasise the essential tasks of a data analyst, such as classifying data and calculating numbers. Brush up on your math and statistics principles.

Learning Data Analytics

If the question of how to become a data analyst is bothering you, then taking a step toward learning data analytics will open up avenues to becoming a data analyst or data scientist. Of course, basic programming skills in SQL, database, BI tool, Python, R, and conceptual knowledge of data mining, familiarity, and interest in topics, including data warehouse, will help in learning techniques in data analysis.

Data Analytics Course

Since data analytics is essential in every field, choosing a good institution to learn data analytics that imparts industry-ready skills to the students is crucial. Training providers offer a high-quality learning experience, supported by skilled and experienced teachers, and have resources to engage in real-life projects. A program in data analytics certification course with job-interview guarantee option will allow freshers to learn and land  good job-interview opportunities.

One such program, Data Analytics and Machine Learning, offered by Imarticus Learning is an ideal opportunity for fresh graduates and those looking to switch careers to Data Science and Machine Learning.

The certification will help professionals improve their knowledge in the field of analytics and specific tools like R programming, SAS, Big Data, Hadoop, and more. With a proven track record of over 1,000 assured placements, Imarticus Landing’s program guarantees an excellent job in a salary range between Rs 7 to Rs 22.5 lakh per annum.

Conclusion

If you are looking for a reliable data analytics certification course with a job-interview guarantee, you are just one step away from your destiny. The Data Analytics course at Imarticus is the best option for you to enhance your career as a reputed data science professional of the future.

For more information about the courses, please contact us via live chat and/or message or visit one of our training centers in Pune, Mumbai, Thane, Gurgaon, Delhi, Bangalore, Chennai, or Ahmedabad.