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Tag: Big Data Career

The Growing Need of Data Storytelling as Salient Analytical Skill!

Posted on by Imarticus Learning
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Data storytelling is a methodology used to convey information to a specific audience with a narrative. It makes the data insights understandable to fellow workers by using natural language statements & storytelling. Three key elements which are data, visuals, and narrative are combined & used for data storytelling.

The data analysis results are converted into layman’s language via data storytelling so that the non-analytical people can also understand it. Data storytelling in a firm keeps the employees more informed and better business decisions can be made. Let us see more about how data storytelling is an important analytical skill & how it will help in building a successful Big Data Career.

Benefits of Data Storytelling

The benefits of data storytelling are as follows:

  • Stories have always been an important part of human civilization. One can understand the context better via a story. Complex data sets can be visualized and then data insights can be shared simply through a story to non-analytical people too.
  • Data storytelling helps in making informed decisions & stakeholders can understand the insights via Data storytelling and you can compel them to make a decision.
  • Data analytics is about numbers and insights but with data storytelling, you make your data analytics results more interesting.
  • The risks associated with any particular process can be explained to the stakeholders, employees in simple terms.
  • According to reports, more data is produced from 2013 than produced in all human history. To manage this big data and to make data insights accessible to all, data storytelling is a must.

Tips for Making a Better Data Story 

  • If you are running an organization, make sure to involve stakeholders/investors in data storytelling. This helps in increasing clarity in communication and they do not find a lack of information.
  • Make sure to embed numerical values with interesting plots for a data story. Our brains are designed to conceive visual information faster. Only numerical insights will make the data story boring and more complex to understand. The data insights should be conveyed in a layman’s language through a data story.
  • Data visualization should be used for data storytelling but it should not hide the critical highlights in the data set.
  • Make sure you imbibe all the three aspects of data storytelling which are visuals, data & narrative. The excess of any attribute can hamper the effectiveness of your data story.
  • The outliers/exception in the data set should be analyzed and included in your data story.

The Growing Need for Data Storytelling 

New ways of data analytics like augmented analysis, data storytelling, etc. are surging a lot in recent days due to the high rate of data production by firms/businesses. One can learn analytical skills from a Data Analytics course from Imarticus Learning. To build a successful Big Data Career, you will need to learn these new concepts in data analytics.

big data analytics courses in IndiaConclusion 

Imarticus Learning is one of the leading online course providers in the country. You can learn key skills via a Data Analytics course from industry experts provided by Imarticus Learning. Start learning data storytelling now!

How Big Data Analytics Course Help to Achieve Better Data Management In Banking?

Posted on by Imarticus Learning
Reading Time: 3 minutes

What is Big Data Analytics Course?

Banks create a huge amount of data regularly. The speed of data creation is slower than the speed of processing this information. The Big Data Analytics course can help the banks to diversify the data into Big Data that can be stored in a divided manner for better understanding and longevity.

Big Data Analytics Course focuses on the Collection and organization of the data and its conversion into such information that is worth analyzing and studying to draw meaningful conclusions. It educates about the ways to handle Big Data that cannot be used making use of the traditional methods.

Companies require specialized personnel of Big Data Analysts specifically for this job. Jobs in this particular field are shooting because of the usage of the internet and technology at large. This amalgamation of Finance and Technology can give rise to Fintech (Financial Technology)

What are the sources of Big Data?

Analysts can find Big Data whenever they want to make use of it. Some of the most important sources of Big Data are mention below:

  • Sensors- Used in Cars, Industrial machinery, Space, Technology and CCTV Footages, etc.
  • Social Networking Site- Facebook, Twitter, Instagram, Google, etc.
  • Transportation Services- Data from Aviation, Railways, Shipping, etc.
  • Online Shopping Portals- Data from Amazon, Flipkart, Snapdeal, eBay, etc.
  • Institutions- Data from Hospitals, Banks, Software Companies, Educational Institutions, etc.

Characteristics of Big Data

Big Data has been characterized by 3Vs. All the Vs stand for the following:

  • Volume- Data in Tera Bytes, Zeta Bytes, Giga Bytes, etc.
  • Velocity- The speed at which the data grows fast.
  • Variety- Includes the unstructured and Semi-structured data.

Advantages of Big Data Analytics Course in Banking

Big Data Analytics Course has been proved advantageous in numerous fields and industries but the Banking Sector has been able to make the best use out of it so far. The following points show how Big Data Analytics Course can help Banking Sector to achieve Better Data Management:

  • Boosting the Overall Performance

data analytics courses in IndiaAs far as the performance is concerned, both the employees’ and the bank’s performance can be analyzed through Performance Analytics. The Big Data Analytics Course helps to ascertain the loopholes in the performances that can be corrected in the future course of action.

  • Providing Personalized Banking Services to the Customers

The deposit or withdrawal of money in a bank account or the usage of bank cards at shopping sites, all are activities or information of the customers that a bank has. By using this information and the tools from the Big Data Analytics Course, banks can design some personalized services for their specific customers. This can benefit the banks by the way of increased customer loyalty.

  • Managing the risks to the Data

With a discreet vision of the market, banks can regulate their policies or can bring changes in their framework. If the return from the market keeps running low, after analyzing, banks can raise the loan interests for the customers in that respect.

To avoid frauds, banks can turn down or withdraw payments from questionable Investments in the market.

  • Sentiment Analytics

Under this, the banks analyze the data through social media and understand the patterns and behaviors of the customers on social media platforms. This helps to know the sentiments of people about a brand, firm, Company, or product.

Conclusion

Anyone aspiring to be a Big Data Analyst must take up a  Big Data Analytics Course. Considering the current scenario where every company deals with its data through Information Technology, the use of Big Data Career is on the rise.

Related Article:

How To Upskill Your Career In Big Data Analysis

 

Post Graduate Program In Data Analytics Curriculum Designed To Deliver The Best Learning Outcome For Working Professionals

Posted on by Imarticus Learning
Reading Time: 3 minutes

Recent times have seen unprecedented growth and popularity of Big Data, making it an indispensable domain of almost every industry. With an overwhelming amount of data available around us, businesses are focusing on using this valuable resource most efficiently.

That being said, a concomitant rise in demand for skilled data analysts has led to the inevitable mushrooming of data science courses in India.

If you are looking for a comprehensive data analytics course or data science course in India, Imarticus can help you take the first step towards your goal. With its extensive, industry-approved, and experiential Post Graduate Program In Data Analytics and Machine Learning, future Data Scientists are sure to gain immense professional benefits.

About the Data Analytics and Machine Learning Course

According to Statista, the global Big Data market is predicted to grow to US$ 103 billion by 2027, a figure more than twice its expected market size in 2018.

The need of the hour for budding and working data science professionals is a robust data science course with placement assurance. That’s where Imarticus comes to the rescue. The PG program in data analytics and machine learning is designed to help future data scientists learn the foundations and real-world applications of the discipline.

Suitable for fresh graduates and working professionals, the data analytics course seeks to nurture the most in-demand employment skills in data science and analytics with assured interview opportunities and guaranteed job interviews.

What’s Unique About the Program?

Data Analytics and Machine Learning Courses in IndiaHere’s what makes the Imarticus PG Program In Data Analytics and Machine Learning stand out from any other data science course in India:

Guaranteed Interview Opportunities

With over 400 placement partners, Imarticus assures guaranteed interview opportunities for candidates who complete the course successfully.

Learn Job Relevant Skills From Industry Experts

Learners are empowered with critical job-relevant skills through multiple in-class industry-oriented projects, case studies, capstone projects, hackathons, training sessions, discussions, and much more.

Extensive Career Support

Imarticus offers an extensive preparation guide to learners through different career services such as preparation workshops, capstone projects, career mentoring, mock interviews, and a lot more.

Flexible Learning Batches

Weekdays are for the fresh graduate program (6 months, full-time), and the program for working professionals (9 months, part-time) is delivered on weekends.

Curriculum Highpoints

  • The curriculum for early-career professionals or fresh graduates includes:

SQL Programming, Python Programming, Statistics, Machine Learning with Python, R   and Data Science, Big Data and Hadoop, Big Data Analytics with Spark, Data Visualization with Tableau, Data Visualization with Power BI, Placement Preparation, and Capstone Project.

  • Professionals with 0-5 years of experience have advanced curricular elements as follows:

SQL Programming, Python Programming, Statistics, Machine Learning with Python, Neural Network and Deep Learning, Machine Learning on Cloud, AI (NLP and Computer Vision), Data Visualization with Tableau, Placement Preparation, and Capstone Project.

Conclusion

The Big Data revolution has taken the business and IT world by storm and is here to stay. Enroll with Imarticus Learning to make your career in data science and machine learning future-proof by learning from the best in the industry.

Data Analytics and Machine Learning Course in IndiaWith a sea of data science courses available out there, make sure that you choose a data science course with job assurance

Fashion Trends Using Data Analytics

Posted on by Imarticus Learning
Reading Time: 3 minutes

The fashion industry is one of the biggest sectors globally. In India alone, the textile industry was estimated to be worth around $100 billion in 2019. It attracted Foreign Direct Investment worth $3.68 billion between April 2020 and December 2020.

Like any industry, companies in the fashion sector use technology to advance further and enhance their performance. That’s why the demand for data analytics professionals is rising steadily in this field.

The following article will throw light on what do data scientists do in the fashion sector and how they are helping this industry grow.

How Data Analytics Helps the Fashion Industry

Understanding the customers

Data analytics helps fashion companies in getting better insight into their customers. They can collect data from reliable sources, optimize it and analyze it to find unique patterns in their purchase behavior and modify their marketing strategies accordingly.

Data scientists handle the gathering of the data because the source can influence the quality of data significantly. When a brand has a better understanding of what its customers want, it can create products accordingly and get ahead of its peers.

Analyzing the competitors

Competitive analysis is a major aspect of any industry. Knowing what your competition is doing and the reasons why it’s making progress can help you chart out a better future plan.

Data scientists are capable of finding patterns and factors that affect certain outcomes. They assist fashion brands in analyzing the industry and thus, help them beat their competition.

Optimizing the sales process

The sales process should be smooth and hassle-free for every customer. It shouldn’t be difficult for a client to find the product he/she wants. However, in many cases, the customer doesn’t know what he/she wants. This is where data scientists come in.

They create recommender systems that analyze a customer’s past interactions with the brand, the available data on him/her, and predict his/her most preferred choices. Recommender systems also predict user behavior based on what other users with similar interests like. By using recommender systems, fashion companies can easily sell more products and retain more clients.

Data Science Course

Predicting future performance

Forecasting how the current industry trends will behave can help a company greatly. Data Analytics and Machine Learning Training allow fashion companies to perform predictive analysis. It assists them in making better-informed decisions about their current and future products.

For example, it can help them decide the right time to launch new offers. Similarly, it can help them determine how their existing campaigns will perform so they can rectify any errors.

Starting a career in data analytics

Now that you know what do data scientists do in the fashion industry, you might be interested in pursuing a career in this field. Becoming a data analytics professional is quite simple if you have the right knowledge. Data scientists are experts in machine learning, artificial intelligence, mathematics, and statistics. Hence, you must learn these subjects and get familiar with the relevant tools used in this field.

The most effective way to do so is by joining data analytics courses in India. Joining data analytics courses online will help you in learning the necessary concepts and get certified as a data science professional.

Conclusion

Data analytics has become an integral part of many industries, and fashion is one of them. You should start looking for data analytics courses in India if you want to make use of this opportunity. It would be best to join data analytics courses online because it would ensure you can study safely and from the comfort of your home.

Magic off the Pitch: Role of Data Analytics in Cricket!

Posted on by Imarticus Learning
Reading Time: 3 minutes

Cricket with 1.5 billion followers makes it one of the most followed sports in the world. Many followers of the sport have their favorite team, and they always try to predict the outcome of the match, considering some factors they know.

Various factors like a home ground advantage, experience of the players, performance at the specific avenue, performance in the past matches, the current form of the team and the players, and performance against a particular team decide the game’s result.

With some minimal imagination and minute calculations, we can’t predict the outcome successfully. But research has grown beyond our imagination. Many data science courses have been designed to predict the results based on previous data.

best Data Analytics courses in IndiaArtificial intelligence and the best data analytics courses with placement in India have become trendy and started presenting their significance in many sectors. Sports are also included in those sectors. NBA, Soccer, Baseball, and Cricket are such sports that use data analytics to make informed decisions.

Cricket is a game that generates enormous data because it is the game played by 106 member nations of the ICC, and many players are involved in it. This data is helpful for the teams to make the most out of the matches.

Selection of the players, order of batting, order of the bowling, field placements, and many more decisions taken by the experts or captains of the team depends on the analysis of the data generated. Followers may not know that there is an expert team of data analysts behind every successful match. The perfect combination to win a game is technology integrated with 100% effort of the players on the ground.

We need to remember an exciting line that ‘Data Never Lies’. We can definitely get some valuable inputs by analyzing the data. Data analysts consider many different stats to predict the fate of the tournament. This predictive analysis helps the team to strategize and plan the game accordingly. Sponsors too depend upon the data analysis. Search for how to become a data analyst now and build your career in the sports industry.

 

 

Here we are addressing some essentials of data analysis.

  • Captains can make crucial decisions with ease

Cricket is a dynamic sport, and many critical situations would arise during the game. A captain can then rely on data science to make a perfect decision in those moments. Data analytics can help the bowlers and batsmen increase their performance. Data science focuses on implementing machine learning and predictive modeling in the sport. These applications can turn losing matches into wins. We can analyze the performance of the batsmen and the effectiveness of the batsman against a bowler.

  • Improving the performance of the player

We can analyze the player performance using past data. We can see the number of dot balls, the number of yorkers bowled by a bowler, how effective they are against batsmen, etc. With regards to batsmen, we can watch previous deliveries and where he fails to connect. All these types of analysis can be helpful in building training modules for the players.

  • Keeping cricket fans engaged

We have to accept that without fans, no sport would survive. Spectators and fans keep the heat high with the data available with them. Fans get engaged with cricket because of the data analytics tools and knowledge. There are instances where final scores are predicted with the help of data analytics.

How to become a data analyst?

  • A bachelor’s degree in an area that emphasizes statistical and analytical skills, such as math or computer science, is an excellent place to start.
  • Learn how to solve problems by registering for data science courses or a data analytics course.
  • Consider certification.
  • Get your first work as a data analyst at an entry-level position.
  • A master’s degree in data analytics is a great way to advance your career.

How To Advance Your Business With Analytics & Build The Right Team?

Posted on by Imarticus Learning
Reading Time: 3 minutes

In 2020, data is a goldmine of information, and if you can collect and analyze the right data sets, a lot can be achieved in a short period of time.

As companies around the world, start recognizing and collecting more data points from their customers, it is crucial than ever before to have a data analytics team, which can not only process and analyze the collected data but also emphasize sharing key insights which will assist you in advancing your business.

LinkedIn, the number one job search portal reported that 2020 saw a 25% increase in professionals who are seeking a Big Data Career in data science and analytics.

Bi Data CareerWhile this clearly indicates that the importance of data scientists is on a steady rise, it also indicates that companies need to better analyze the capabilities of each individual domain to choose the right man for the job.

How to Choose and Build the Right Data Analytics Team for Your Company?

One of the first and most crucial aspects to understand and embrace is the fact that in 2020, data scientists come with a variety of different skill sets, and thus it is essential to recognize each of the skills and categorize them into the functions best suited for.

While building an analytics team for your organization, you can follow either of two different approaches.

  1. The Direct Method of Segmentation
  2. The Indirect Method of Appreciation

The Direct Method of Segmentation

The concept of the direct method of segmentation is based on the ideology that each data scientist depending on their skill set can be grouped into either of three different designations and then hires can be made based on deciding which skill is required first.

  1. Data Engineers: Data Engineers are the crux of any data analytics team you want to design. The main skill sets you should look for in a data engineer include, ETL (Extraction, Transformation, and Load), Data Warehousing, data processing, and other similar roles.The fundamental job of a data engineer can be summarized as preparing the data for further analysis by data scientists and analysts, who form the rest of the team. They generally have a degree in Big Data Analytics Training.

    Big Data Career

  2. Data Analysts: Using the data prepared by data engineers, analysts extract critical information and decisions which are helpful in solving problems and contribute to advancing business decisions within the organization.
  3. Data Scientists: Data scientists form the last hierarchy of the team and are mainly responsible for crafting and perfecting algorithms using either Machine Learning or Artificial Intelligence to make compelling decisions from unstructured data sets. While a data scientist can easily be tasked with the responsibilities of both analysts and engineers, in big teams these designations are separated for better utilization of time and resources.

The Indirect Method of Appreciation

The indirect method of appreciation is based on the concept of recognizing people who have a broad range of skills, but also in-depth knowledge in a few key areas. This method of hiring can be understood using the “T-Shaped” skill concept, where the horizontal bar of the T represents the broader knowledge set of the hires, and the vertical bar represents the specialized knowledge in key areas.

The overall aim of this methodology is always to find the right set of people, who have the expertise and the knowledge to get the work done in a timely manner.

Conclusion

Building the right data analytics team for your business can not only contribute to its immediate success but also long-term growth. Thus always make it a point to invest the right amount of resources and figuring out which methodology of hiring works best for your business.

Why Working Professionals Must Learn Business Analytics?

Posted on by Imarticus Learning
Reading Time: 3 minutes

The business world is currently witnessing the worst catastrophe ever. Employees across the world are struggling to save their jobs. It is tougher to get a new job, even though there are opportunities around. But what decides who gets the prize?

Business Analytics CourseBelieve it or not, professionals who have undergone a business analytics course have a better chance of landing jobs when compared to those who don’t. Learning about analytics works for the advantage of the company as well as for the professionals.

Multi-skilled professionals score more!

The need of the hour is multi-skilled professionals since several companies are paring down their employees to cut their expenses. At this moment someone with multiple skills in a wider area becomes an asset.

The profile of a business analyst covers different areas such as data mining, research, technology, analysis, communications, etc. The analyst is the one who goes through data to come up with the right solution for a problem in business.

A business analyst is someone who identifies the pulse of the customer to find out what is expected and how to deliver the expected quality product. The analyst will need to go through an endless range of data to find out the key factors that work and then implement it most effectively.

It is the implementation part that requires the use of the different areas of expertise expected of a business analyst. Someone who is knowledgeable in this area is most likely to score above the other fellow workers.

Going with the tide

Professionals are taking full advantage of the current work from home scenarios. Not all of them are enjoying some time at home. Instead, they have enrolled themselves in several courses to upgrade them in their profession.

Learning analytics is definitely on the cards for several of them. Not only would it allow them to learn something new but also make them eligible to test some new waters.

Business Analytics CourseBusiness analysis is definitely one of the best options for freshers. Luckily for them, there are a number of business analytics online training options that they can choose from. Undoubtedly, it will be a new opening for them while helping them swim with the flow.

It’s part of the competition

From the companies’ point of view, the competition between them is getting tighter and the best way to get the edge is to find professionals who are capable of raising the bar. Getting the most skillful person wins half the game.

In order to fulfill such roles, the employees need their skill set polished and upgraded. The scope for a business analyst is higher since the finance as well as the business sectors rely hugely on stored data. The success of any business depends upon how the data is utilized in the best way that reaches the customers.

Bottom Line

The business analysis course makes way for improving knowledge for professionals. At the same time, it also helps them polishing their leadership qualities. This is one profile that qualifies for someone starting from scratch or for a well-established business. Both of them need the assistance of data analysis to grow their respective businesses.

What makes it more appealing is the fact that any professional from any background can become a business analyst and end up making crucial decisions that change the course of the businesses.

The Top Data Analytics Certifications in 2020 For Advanced Data Expertise!

Posted on by Imarticus Learning
Reading Time: 3 minutes

The explosion of interest in technologies such as the Internet of Things (IoT), Big Data and Artificial Intelligence (AI) has stepped up demand for data scientists and analysts over the past few years.

Advanced capabilities in data analytics are just too critical to ignore at this point. In a matter of years, they’ve reached out from a niche sector to nearly every industry that generates any form of data. However, data analysts with the right mix of skills, experience and spirit of innovation are quite rare. This means businesses are well away from realizing the true potential of their data dumps and the insights that can be garnered from it.

Big Data Analytics Certification CoursesIf you’re interested in pursuing data analytics jobs sometime in the future, it is advised that sign up for big data analytics training opportunities within or through your company. If you’re a student or a fresh graduate, enrolling in a Data Analytics Certification Course is a sure-fire way to strengthen your core competencies and upgrade your skillset in the process.

Here are some of the top data analytics certifications you could choose from in 2020:

  • SAS Certified Data Scientist

To earn the SAS Certified Data Scientist certificate, you will need to pass all 5 SAS Certified Big Data Professional and SAS Certified Advanced Analytics Professional levels. They consist of two and three exams respectively. The exams test a student’s knowledge in big data preparation, programming, statistics, predictive modelling, text analytics and visual exploration.

Upon completing the exams successfully, the newly-certified professional can gain insights from big data using SAS tools as well as open-source options. The professional will also be skilled in creating machine learning business models to derive insights and influence decisions at a higher management level.

  • Microsoft CSE (Certified Solutions Expert)

This certification deals with data management and analytics. It consists of 12 exams; however, aspirants will first need to earn at least one out of the seven MSCA (Microsoft Certified Solutions Associate) certifications. The costs of the exams don’t include the training material, which a candidate can source directly from Microsoft.

This certification prepares you for building data solutions at an enterprise level and applying Business Intelligence approaches to big data. It also prepares you for the administration of SQL databases. After obtaining this certification, job roles such as database analyst, BI analyst and database designer are well within your reach.

  • IBM Data Science Professional

This beginner-level certification demonstrates the skills of an individual in the subjects of data science such as SQL, Python, data analysis, basic methodologies and open source libraries. The candidate will need to complete nine courses spread out over 12 hours per week for a total of three months. These courses will include practical experiments and assignments that contribute to the individual’s portfolio. The professional certificate earned at the end of the courses is branded with the IBM logo and add weight to any data science-oriented resume.

  • Cloudera Certified Associate Data Analyst (CCA)

The CCA certification requires that candidates pass the CCA159 Data Analyst exam, which is a set of 8 to 12 performance-heavy tasks on the Cloudera Enterprise cluster. Each task is allotted 120 minutes and involves analysing a problem and coming up with a technical solution that covers all bases and is highly precise. The Data Analyst training course from Cloudera helps candidates prepare for this specific exam.

By successfully completing this exam, SQL developers will be able to demonstrate core competencies in Cloudera’s CDH setup through using Hive and Impala.

Conclusion

Data analytics allows industries to revolutionise their business operations and implement insights gained from sifting through previously unstructured big data. Data analysts with any of these certifications in their kitty can expect to rise to the top of the CV pile.

In The Face Of Job Uncertainty, Can A Career In Big Data Protect You?

Posted on by Imarticus Learning
Reading Time: 3 minutes

Big data involves extracting, analyzing and processing vast amounts of data using different techniques. With electronic apps proliferating through sectors and geographies, data is generated from various sources every day, everywhere, by everyone.

While big data entails sifting through unstructured data in multiple formats, the insights derived from these data dumps are invaluable to business or societal goals. Detailed knowledge of the business, through big data, will build greater efficiencies and give them an advantage over rivals in a data-driven environment.

The importance of big data has come further into light during the novel corona virus pandemic. Although the world is far away from a cure, the use of big data has allowed organisations and governments to manage the crisis, mitigate the impact as far as possible and maintain lock downs at a national level.

That said, healthcare is not the only sector that benefits from big data. Nearly every industry known to humans today can derive actionable benefits from big data, should they use it to its maximum potential.

The burning question, then, is if a big data career can keep you safe from job cuts, layoffs and furloughs. It just might, for the following reasons:

Big Data CareerA Shortage of Big Data Talent

Although there are many complexities involved in incorporating data-driven perspectives into traditional business practices, recruiting the best talent has become a consistent frustration across industries. Both as a result of this and as a precursor to this, companies have been failing to realise the full potential of big data and have been able to extract only a limited amount of insights.

A Breadth of Possibilities

Companies and industries are only just realizing the potential of big data across the board. Therefore, there is a myriad of paths to explore within the field in the coming year. This makes today an opportune time for those in looking to kickstart a big data career. Companies will be on the lookout for those with solid core competencies as well as a willingness to learn and experiment. Much of big data’s capabilities are hitherto undiscovered; big data analysts and scientists can help industries derive as much value as possible.

Evolving Technologies and Software

Technology continues to change and transform, which means new sources of data are being added into the mix. For traditionalists, this amount of data can look daunting and be misconstrued as useless. However, big data professionals can interpret these data dumps, extract value and engage in data storytelling such that big data drives business goals from the get-go. Additionally, new software is being introduced to handle niche requirements; a big data analyst or scientist with some experience in this will prove to be invaluable to a company exploring big data possibilities.

A Surge in Big Data Courses

If the number of enrollment in big data and related courses are anything to go by, then it is safe to say that interest in big data is only increasing by the day. A good big data analytics course, however, doesn’t stop just there.

It also delves into machine learning, Artificial Intelligence and Natural Language Processing because all of these are intrinsic to the process of deriving actionable insights. Any big data analyst worth their salt will strengthen their competencies in these fields first and then apply theory into practice.

Conclusion

A great way to get your foot in the door and strengthen your skillset is to enrol for a big data analytics course. While the job market seems to be bleak the face of a potential recession, you can offset some amount of impact if you’re pursuing a career in big data. It’s most likely to rebound from this depression and create meaning out of the noise even in difficult times.