Is data science really a rising career?

A huge amount of data is generated every day by companies. This means every company is now sitting with a pile of data and does not really know what to do with that data. So, to organize this volume of data and draw meaningful insights from it, they require people who are experts in Data Science.

Organizations (irrespective of their size) are on the lookout of those employees who can fathom as well as synthesize data and then, in turn, communicate those very outcomes in a method that serves advantageous to the organization and assists the management in making decisions.

A data scientist can work in any global location. In addition, along with the technology industry, a data scientist can work in different industries as well as domains, ranging from pharma/healthcare to sales/marketing. They can also work in domains like consulting, financial services, CPG industries, and retail.

Apart from the above-mentioned uses, data science has proven to solve many complex real-time problems. A few examples of the real-world problems which have found peace in the modern-day data-driven solutions are:

· Advancement in the field of data science has made it easier to detect fraud and abuse in insurance firms now. The credit card fraud detection system works on similar grounds. It protects the security of customers, thus, minimizing losses due to fraud.

· Automated piloting: The concept behind self-driven vehicles runs on data science. Still, in its nascent stage, this will change the functioning of the automobile industry entirely.

· Prediction of short term (local) and long term (global) weather.

The demand for professionals in data is increasing due to the rise in the popularity of data-driven decision making. Where people used Excel to work on data earlier, tools like Hadoop have nowadays secured a place for managing Big Data. With frequent advancement in technology, several other tools find a meaningful use for organizations to make impactful decisions. The usage of a few is listed below:

· Tools like Python and R have witnessed exceptional improvements in their codes. These allow users to solve complex problems with only a few lines of codes.

· Google Analytics is another effective tool for the marketing department.

· Tools like Tableau, Microsoft Power BI and Sisense have found relevance in the business intelligence departments for the purpose of data visualization.

Nowadays, there are plenty of options for data science training that one can opt for. There are many institutes offering data science courses and I would recommend you to enrol in Technogeeks data science program, they offer the best combination of data science courses which are in demand and the course which they offer is provided by working IT professionals.

What is The Hot Research Topics in Data Science?

 The hot research topics in data science: -

Artificial Intelligence:

AI has become the mainstream technology for both small and large businesses, and it will bloom in the next few years. At present, we are at the initial stage of using artificial intelligence, but in 2021, we will see more advanced applications of AI in all fields. The reason AI is growing rapidly is that it allows enterprises to improve their overall business processes, and provides a better way of handling both customer and client’s data.

Though utilizing AI will still remain a challenge for many, as exploring the advancement of this technology is not that simple. In 2021, we will find more advanced apps developed with AI, Machine learning, and other technologies that can improve the way we work. Another trend that will take over the market is automated machine learning that will be helpful in transforming data science with better data management. So, you might need specialized training for executing deep learning.

Natural Language Processing:

Natural Language Processing (NLP) has made its way firmly into Data Science after huge breakthroughs in Deep Learning research.

Data Science first began as an analysis of purely raw numbers since this was the easiest way to handle it and collect it in spreadsheets. If you needed to process any kind of text, it would usually need to be categorized or somehow converted into numbers.

Yet it’s quite challenging to compress a paragraph of text into a single number. Natural language and text contain so much rich data and information - we used to be missing out on it since we lacked the ability to represent that information as numbers.

Huge advancements in NLP through Deep Learning are fuelling the full-on integration of NLP into our regular Data Analysis. Neural Networks can now extract information from large bodies of text incredibly quickly. They’re able to classify text into different categories, determine sentiment about a text, and perform analysis on the similarity of text data. In the end, all of that information can be stored in a single feature vector of numbers.

As a result, NLP becomes a powerful tool in Data Science. Huge datastores of text, not just one-word answers but full-on paragraphs, can be transformed into numerical data for standard analysis. We’re now able to explore datasets that are far more complex.

Data Science has become one of the growing fields in all industries, especially the IT industry. Thus, businesses adopting data science techniques and technologies must stay up-to-date with the latest trends. If you are looking to learn data science and want to work on data science trends then I would recommend you to take a look in Technogeeks Data Science program by working IT professionals.

Which is the best machine learning training institute in Pune or Delhi NCR?

There are several institutes of machine learning in Delhi NCR and Pune both, even online and offline both courses are available but one should join classes instead of online courses. As in online courses, you will face many issues, like to clear your doubts, to ask any questions and in any other interaction but if you join a classroom course you will be able to interact with your trainer easily, any doubts can be cleared at the same time.

Technogeekscs the best place to learn Machine learning; anyone ever had an interest in mathematics in his school days can learn machine learning. Even a student after 12th, any graduate or a working professional anyone can go for a machine learning course, the common thing is that you should have a passion to learn.

Now a day’s scope of  Machine learning is increasing pace to pace, there are a number of openings in this profession and many more to open in the future.

Machine learning is a large field to study. You can achieve impressive results by solving out any difficult to difficult problems. It is the process of predictive analysis of past data. In very past years cars, phones were implemented by machine learning and in recent years SIRI of I phone and Microsoft Cortana are examples of machine learning and we all know that new technologies introduce time to time and it is because of machine learning.

This course provides a vast introduction to deep learning, Data Mining, NLP, Artificial intelligence and statistical pattern recognition. Machine learning includes

1. Data visualization with Python

• Plotting using Matplotlib

• Seaborn visualization

• Pandas built-in data visualization

• Data visualization assignment

2. Machine learning Algorithms

• Linear Regression with Python

• Logistic regression with Python

• K- Nearest neighbors using Python

• Decision tree and Random forest with python

• Support vector machines

• Model evaluation

• Bias variance trade-off

• Accuracy paradox

• CAP curve and analysis

• Clustering in unsupervised learning

• Association algorithms

• Natural Language Processing with Deep Learning

3. REST APIs with Flask and python

• REST principles

• Creating application endpoints

• Implementing endpoints

• Using Postman for API testing

Why TECHNOGEEKS?

1. Trainers of TECHNOGEEKS are IT professionals and have experience of +10 years in the desired field.

2. TECHNOGEEKS gives Seminars on every Saturdays and Sundays which you can join without any cost.

3. Their way of teaching is completely different; they provide practical insight training into the subject which will be easy for everyone for understanding.

4. Two midterm projects will be given for practice and one real-time project will be given with problem statements after completion of the syllabus.

5. You will be get trained in one month if you join the training on weekdays and one and a half month if join sessions on the weekend.

6. Once you enrolled, you get an opportunity to join a course again or any session within a year which is completely free of cost.

7. They provide complete assistance in the completion of projects and assignments.

8. They also provide assistance in resume building and 100% assistance in placement.