COVID19 imposed Lockdown in different parts of the World to prevent the spread of the disease but this pandemic has changed our life and badly impacted us. World Economy is disrupted, significant number of people lost their jobs and unemployment has reached its peak. During this lockdown some people were lucky enough to retained their jobs and still earning a descent salary.
Work from home is the new way of life and for the companies whose business is not badly impacted may continue this work culture till the situation comes under control. If you are a computer geek and what to know Top 5 jobs in Trend after the lockdown then this article is for you.
Many Companies are hiring professional having experience in emerging technologies as it’s the need of the hour. India is the second country to hire professional from for the data science field. So, the demand for Data scientist, Data analyst, Business analyst, Data Engineer is very high these days. Along with that demand for full stack developer and testers is also increasing day by day. These are all the hottest jobs of 2020.
The Top Trending jobs are:
Data Science:
Every day large amount of data is generated through our devices. We are surrounded by data through which we can get lots of valuable information.
Data science helps to improve the decision-making process by interpreting data. Coal value increases when right amount of pressure is given till it turns into diamond. Similarly, Raw data is of no use until it is cleaned and processed. Data scientist is the most trending jobs these days.
Data science is an umbrella which has various streams and different job titles. The role of the data scientist is to analyze and interpret the data and create model to make predictions. Forecasting and drawing insights from the data so as to overall improve the business process.
As a beginner or fresher you should start acquiring knowledge on the following skill set.
- Top Programming Languages like Python, R, Scala, Java, Julia etc you can master any one. Python is easy to learn and It is used widely by the companies these days.
- Machine Learning Algorithms : Different predictions algorithms – Supervised Algorithms :- Linear, Logistic, SVM, Decision Tree, Random Forest, KNN and Unsupervised algorithms and clustering techniques.
- Data Visualization Libraries
- Deep Learning:- Artificial neural network (ANN) , Convolutional neural network (CNN), Recurrent neural network (RNN), Long short term memory etc.
- Statistics
- Data Analysis tools – Power BI, Tableau (Optional)
If you are starting your career as a fresher still you have a good scope in this field.
This is a vast field and sometimes companies hire project specific.
For example, If the company has project related to Natural Language Processing then the NLP Engineers having a strong expertise in this domain are hired. You have to choose which topic interests you and prepare accordingly.
Check the data science course content
Big Data
Data is growing at an increasing rate and there is a need to store and process it efficiently. 3V of big data are volume, Velocity and variety.
The data is generated in large volumes, the speed of data processing is referred to as velocity and Variety is the different types of data.
The data is of both the forms structured and unstructured. Big Data helps us to organize and analyse data with much ease.
These are not standard datasets but a more advanced one – NOSQL. These Big data helps us to create intelligent devices or apps which are driven by the data.
The different job titles are : Big data Architect, Big data developer, Big data and cloud Engineer, Big data Engineer etc.
The basic skillsets are:
- Big data tools: Kafka, Hadoop, spark
- Deployment of Big Data Application on Docker and Kubernetes
- ETL tools
- SQL and NOSQL databases
- AWS could services
- Stream processing systems
- Programming languages: Python, scala, java, etc.
Check the big data course content
Business/ Data Analyst
As the name itself suggest “Analysis”. If you are a fresher then there is a huge opening for the data analyst position. The main job of data analyst is creating dashboards, storytelling, creating reports and visualizations and drawing insights.
The requirement to become data and business analyst is degree in mathematics, statistics or business.
The certification or degree in analytics domain. Business analyst help organization to make decision based on the interpretation of the data. They help to improve overall business.
To perform the role of Data analyst the basic skill sets are Python, R, SQL, Excel, Data Visualization using Power BI, Tableau.
Business analyst are not involved in the coding and programming they need to understand, manage, prioritize and deliver the requirements. They should be analytical thinker, should have good interpersonal skills, written and communication skills.
Check the Data Analyst course content
Web Developer/ Full Stack Developer (MEAN stack)
Full stack developer is the one who has expertise in both the front end and back end technologies. They should be able to develop website and handles all the operations related to it.
The key responsibilities are writing code to develop scalable software, creating and designing websites, handling servers and databases, making website user interactive and testing it.
Mean stack is different from full stack where the core components are Node.js, Angular.js, MongoDB , Express.js. If you are a full stack developer then you can work in different designations and can easily manage and understand different aspects of projects.
There are ample job opportunities for full stack developers as they are beneficial for the company because of their diversified knowledge.
Check the full stack developer course content here
Software Testing
Testers ensures that the quality of the software product which is developed by the developers are fit for the purpose. They perform both the manual and automated testing just to make sure that the product is bug free and serve the purpose.
The tester should have a very good time management and organization skills, good communication skills, analytical skills, and good productivity.
The technical requirements includes hands on experience on Defect tracking tool like jira, Bugzilla etc, Automation tools like Selenium Webdriver and scripting language like c#, javascript, perl/shell or VBscript, and academic background should be from computer science field.
Testers are the core part for application development and it is one of the hottest job of 2020. The demand of testers is very huge in the market.
If you want to kickstart your career in any of these fields then you can start learning from good sources and grab an opportunity as all these professions are highly in demand.
Java was a famous programming couple of years back and each specialized proficient needed to ace this innovation to manufacture a vocation in the IT industry.
Give us a chance to think about the two occupation profiles as far as the pay climb, obligation increment, and tremendous changes.Java is the programming language of decision for HadoopAs you know Hadoop is a gigantic Open Source stage for chipping away at very tremendous volumes of information that is past the limit of the customary database the executive’s devices.
The handling motor of the Hadoop environment is MapReduce structure which is fundamentally written in Java programming language.
So as to effectively send MapReduce in a Big Data condition, information of Java is fundamental.
So in the event that you are as of now a Java designer, at that point, it turns out to be very simple for you to compose the MapReduce contents that will be widely conveyed on the Hadoop group for Big Data computational occupations.HDFS additionally has the Java programming language at its center.
Presently Java controls all these different innovations and instruments giving you a strong head begin in your profession.Need Hadoop Certification Training in Bangalore?Hadoop is a common profession movement for Java engineers Java writing computer programs is being sent in different applications and to meet changing business needs.
To excel in a career in Data Science, one needs to develop skills in different aspects including programming, statistics, data analysis, data management, data mining, data visualization, and many other concepts.
Speaking of programming, Data Scientists need to have knowledge of Python or R programming along with SQL databases.
Data Scientists are being recruited in the industries across the verticals and can expect high salary packages depending on how they deepen their knowledge.Growing Demand for Big Data:As data permeates our lives and companies try to make sense of the data they generate, qualified data scientists continue to woo businesses large and small.
Data science is not only a state-of-the-art field that allows you to have an important impact on your business on a global scale, but also one that is growing at an astonishing rate.As a Data Engineer, you can be interested in software development, data infrastructure, or the construction of complete data pipelines.
The most important thing that you need to do to become a Data Scientist is to clear your Data Science course certification The skills that you develop from this course will help you in handling the core technical challenges in Data Science and helps you in getting your first job as a data scientist.
Some Data Analysts are using their programming skills to shift to more general developer roles.
Big Data has taken a high momentum in the last two years.
And when we talk about big data, Hadoop is the ultimate term that comes to mind.
No other big data processing tool has gained such market popularity as this open-source tool from Apache.
However, Hadoop is a growing field with continuous up-gradation and added features as well as members of its ecosystem.You can go for iClass Gyansetu’s Big Data Course in Gurgaon who are willing to pursue a career in this field.
It will immensely help you in getting started as well as getting ready for a job after successfully completing the course.
Start building your career as - Hadoop developer, Hadoop Architect, Hadoop tester, and Hadoop administrator.
Jake Porway is a data scientist at The New York Times and the founder of DataKind (originally known as Data Without Borders), which matches nonprofits in need of data science with freelance and pro-bono data scientists.
Here's what he had to say about how to get into data science, how to perform well, and how to avoid key mistakes in the field.Get the Right SkillsAccording to Porway, getting into the field boils down to three key things:Practical computing skillsStatistical skillsA desire to learn"You need to be able to write scripts to scrape data as well as code up the algorithmsyou come up with in your head," Porway says.
"You should know your basic stats (and more, ideally) if you're going to really be able to assess whether the models you're building or algorithms you're writing are doing what you want.
It wasn't until he landed his job at The New York Times that he got to expand into broader data science tasks, namely Project Cascade, which tracks links from the publication across social media.The most important thing to get in the field, Porway says, is to get learning.
"Download some data, pick up some R[a language and environment for statistical computing and graphics], and start playing ...
I'd say to focus on using something like R alongside a basic stats book to guide you through exploring some data.
GangBoard’s Data Science with R certification online training offers to you yon earn the expertise knowledge in machine learning algorithms such as K-means clustering, Naïve Bayes, Decision trees, etc using Data Science with R courses which include the conceptual understanding of statistics, mining of text, an introduction to deep learning.
