There is no second thought about investing in re-skilling at any point of time during one’s career. The question at this point of time is how to choose the right vendor while being frugal, yet wise. Given the fact that there are quite a lot of options available out there and it is quite a task to choose the right kind of best data science course  The 2 kinds of easy decisions are either to enroll into a high priced course for the brand value of the institute or enroll into the lowest priced best data science course  available. Both of these decisions might not seem right at this point in time.  

How To Choose Best Data Science Course

Five point somethings to consider while making a decision choosing  between best data science certification or best data science certification online.

One, check how long since the academy has been in the market offering analytics and best   data science courses, it would not be a wrong decision to choose the pioneers in this space.

Two, the instructor pool, the field of data science analytics does not insist on people having fancy PhD degrees as this field demands diversely skilled industry practitioners rather than pure play academicians.

Three, mode of delivery. It’s wise to choose the best online data science courses mode of delivery as opposed to in person classes at this point in time given to the pandemic situation.

Four, pricing of the best online data science courses  . Ask yourself if it’s worth paying in lacs for an online program given to the current market scenario.  

Things You Need TO Do While Pursuing Data Science Course

Five duration of the best online data science courses .Best data science certification online is a field which needs solving a lot of practice case studies and this demands dedicating quality time for the learners unlike any other IT related training courses which can be delivered in a relatively short duration. Slow learning is sure learning!

Remember, it would take a while for the markets to recover, so it would not be a bad idea to take things slow at the moment. Most importantly, do not fall prey to free course offerings. As the saying goes…”If you don’t pay for the product, you are the product!”

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To predict the future better, we need to have a decent understanding of the past. The 1700 was the era of industrial revolution which was driven by steam powered engines. Prior to that, it was the age of mechanically driven machines powered by humans or animals. In the 1800’s a breakthrough happened, the invention of electricity which replaced steam power by electric power, in most of the industries. 

People were indeed super excited about electricity. They built electric cars in the early 1900’s but it didn’t take off due to lack of appropriate battery technology. 

The first half of 1900 was the era dominated by electro-mechanical, manufacturing, construction, automobile and Petro-chemical based sectors. The mid-20th century onwards there was a lot of traction around the electronics, tele-communication and semiconductor industry which led to the evolution of the computer as we know today. The late 20th century (1980’s to 2000) was the glorious period of IT & software technology. 

Several people who had identified the above industry trends early and found themselves in the sweet spot at the right time and place have reaped humungous benefits. Every one of  these industries has a saturation point beyond which the advancements are not exponential, so is the career growth opportunities for most of the folks associated with these industries. However, the good news is that there is another booming sector revolving around DATA in the advent of this 21st century. Indeed, it’s popular known as the 4th industrial revolution (1st – Steam, 2nd – Electricity and the 3rd being semi-conductors and computers) 

This 4th industrial revolution is more about intelligent and interconnected systems. Intelligence in the context of computing depending on two major factors. 

The DATA and the analysis that needs to be carried out on the data to make an intelligent decision. The whole idea of making a system intelligent or to make an intelligent decision as an individual in context of a business, involves a gamut of activities in collecting & analysing data. It involves data collection, data cleaning, applying statistical techniques, using machine learning algorithms or deep learning techniques. There are a plethora of technologies and tools for each of the above-mentioned areas. There are already a lot of products built and delivered successfully by a few large organizations who are the pioneers in this area of work and its hard to miss them. 

The auto spell check feature when you message using your phones, voice enabled search features in your smart phones and Alexa like devices, google maps,  google search engine, recommendation systems when you shop through e-commerce sites like Amazon, song and movie recommendations which pop up in your systems  through services like Netflix, YouTube, Amazon Prime Video etc. All of these are heavily based on data analysis. This whole saga of playing around with data systematically is popularly known as DATA SCIENCE.  

Irrespective of what is your nature of work, if you are a knowledge worker, you need to be data savvy. Apart from the major giants like Google, Microsoft, Amazon, Yahoo, IBM etc a lot more organizations are investing in building capabilities around data science and actively looking to hire the right candidates who is data smart. According to a report published by Forbes, the industry spending around AI is going to be close to 75 billion dollars by 2022. If you are someone who would want to catapult your career growth, looking for a career  transition into data science, a fresher looking for a job or a candidate in a management position who is most likely going to build or manage a team of data scientists, you should consider exploring this field of data science and the best way to go about it is by enrolling in a course which suits your profile.

The post Why it’s the right time to explore a career in Data Science appeared first on Jigsaw Academy.

Weather reporting & Forecasting Using Smartphones

Weather forecasting using satellite data from meteorology departments is a well-known fact and is an age-old technique used to predict the weather. However, most modern-day cell phones come equipped with light, pressure, and temperature monitoring sensors which can also be used to collect weather data from the ground location. This data beamed and aggregated in data centres is also used for weather reporting using real-time analytics techniques.

To Ride through a City Avoiding & Minimising Traffic Jams

Real-time location-enabled data used by commuters from smartphones are already being used to predict traffic congestions, which indeed alerts the drivers to take a detour. It’s a well know fact that this service is already provided by Google maps. This not only saves time and fuel by taking a detour but also avoids vehicle pile-ups in traffic-prone areas. The really interesting part would be useful when self-driving cars become a reality and would automatically re-route to reach a destination by the best route. This idea is not too far away either.

To Study Why Indian Food is Tastier (Food Pairing in Recipes)

Most Indians would undoubtedly agree that Indian food tastes better when compared to any other continental cuisines (although we might have an occasional craving for continental food). But what’s more interesting is the fact that many nations have figured out that a lot of people find Indian food very tasty. The reason for that is strange when the food pairing techniques are compared with the recipes of other nations. Food pairing is a process which is followed while devising a recipe. The study has led to an understanding that traditional Indian recipes were carefully engineered by our ancestors instead of being just stumbled upon. This might be one of the reasons why traditional Indian food is not just tasty but also regarded as highly medicinal.

To have a Better Partner

The idea of arranged marriages and one partner for life is very uncommon outside India and China. In fact, the gen X and Y population, even in India and China, seem to be open to the idea of choosing a partner by dating – which works on the trial and error principle. Several dating websites which provide these services are already using analytics for profile matching. The data points collected are not just a one-time activity while registering for the services of a dating website. The data for profile matching is continuously gathered from social media websites and the online activity of individuals. This is what is called a digital horoscope!

Urban waste management – A Dustbin Which Tells You When to Empty it!

The Silicon Valley of India, Bangalore, alone generates close to 5000 tons of waste a day. India generates 150 million tons of waste per day. The problem of handling this is not at the final stages in waste processing plants or at the dumping grounds. It, in fact, starts from waste generation & segregation right from our homes. What if our garbage bins come equipped with sensors that alert individuals to effectively manage their waste more responsibly or recycle some of the waste at their homes at micro levels. This indeed could be rewarded with some brownie points that can be reimbursed for essential services. A smart city of Songdo in South Korea has already implemented such a plan where citizens are already using smart chip-enabled devices for garbage disposal. These micro sensor-enabled devices integrated into garbage bins (smart bins) would gather the amount of waste by weight that’s disposed of on a daily, weekly and monthly basis.

At the other end of the spectrum of the waste processing plants, Big Data analytics has enabled us to figure out the highest contributors of waste at a macro level. This data indeed enables the governing bodies to devise policies, which could bring about changes in the manufacturing process in several ways. A simple example would be to include materials in the manufacturing process, which is environmental-friendly while recycling (increase the percentage of bioplastics used in most consumer electronics products).

Join our introductory course and get a sound understanding of the Next Big Thing in business.  

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