03-introductiontodatascience-190819220727.pptx

Editor's Notes

• #9: Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
• #12: Data Analysis What percentage of users back to our site? Which products usually bought together? Modelling Statistics How many cars are going to sell next year? Which city is better for opening new office? Engineering / Prototyping Product to use a prediction model Visualization of Analytics
• #28: In 2012, when Harvard Business Review called it "The Sexiest Job of the 21st Century", the term "data science" became a buzzword.
• #29: In 2012, when Harvard Business Review called it "The Sexiest Job of the 21st Century", the term "data science" became a buzzword.
• #30: In 2012, when Harvard Business Review called it "The Sexiest Job of the 21st Century", the term "data science" became a buzzword.
• #35: Search Engines - Google, Yahoo, Bing, Ask, AOL and Duckduckgo All these search engines (including Google) make use of data science algorithms to deliver the best result for our searched query in fraction of seconds. Considering the fact that, Google processes more than 20 petabytes of data everyday. Had there been no data science, Google wouldn’t have been the ‘Google’ we know today.
• #36: Starting from the display banners on various websites to the digital bill boards at the airports – almost all of them are decided by using data science algorithms. This is the reason why digital ads have been able to get a lot higher CTR than traditional advertisements. They can be targeted based on user’s past behaviour. This is the reason why I see ads of analytics trainings while my friend sees ad of apparels in the same place at the same time.
• #37: Internet giants like Amazon, Twitter, Google Play, Netflix, Linkedin, imdb and many more uses this system to improve user experience. The recommendations are made based on previous search results for a user.
• #38: You upload your image with friends on Facebook and you start getting suggestions to tag your friends. This automatic tag suggestion feature uses face recognition algorithm. Similarly, while using whatsapp web, you scan a barcode in your web browser using your mobile phone. In addition, Google provides you the option to search for images by uploading them. It uses image recognition and provides related search results.
• #39: Some of the best example of speech recognition products are Google Voice, Siri, Cortana etc. Using speech recognition feature, even if you aren’t in a position to type a message, your life wouldn’t stop. Simply speak out the message and it will be converted to text. However, at times, you would realize, speech recognition doesn’t perform accurately.
• #40: EA Sports, Zynga, Sony, Nintendo, Activision-Blizzard have led gaming experience to the next level using data science. Games are now designed using machine learning algorithms which improve / upgrade themselves as the player moves up to a higher level. In motion gaming also, your opponent (computer) analyzes your previous moves and accordingly shapes up its game.
• #41: At a basic level, these websites are being driven by lots and lots of data which is fetched using APIs and RSS Feeds. If you have ever used these websites, you would know, the convenience of comparing the price of a product from multiple vendors at one place. PriceGrabber, PriceRunner, Junglee, Shopzilla, DealTime are some examples of price comparison websites. Now a days, price comparison website can be found in almost every domain such as technology, hospitality, automobiles, durables, apparels etc.
• #42: Airline Industry across the world is known to bear heavy losses. Except a few airline service providers, companies are struggling to maintain their occupancy ratio and operating profits. With high rise in air fuel prices and need to offer heavy discounts to customers has further made the situation worse. It wasn’t for long when airlines companies started using data science to identify the strategic areas of improvements. Now using data science, the airline companies can: Predict flight delay Decide which class of airplanes to buy Whether to directly land at the destination, or take a halt in between (For example: A flight can have a direct route from New Delhi to New York. Alternatively, it can also choose to halt in any country.) Effectively drive customer loyalty programs Southwest Airlines, Alaska Airlines are among the top companies who’ve embraced data science to bring changes in their way of working.
• #43: One of the first applications of data science originated from Finance discipline. Companies were fed up of bad debts and losses every year. However, they had a lot of data which use to get collected during the initial paper work while sanctioning loans. They decided to bring in data science practices in order to rescue them out of losses. Over the years, banking companies learned to divide and conquer data via customer profiling, past expenditures and other essential variables to analyze the probabilities of risk and default. Moreover, it also helped them to push their banking products based on customer’s purchasing power.
• #44: Logistic companies like DHL, FedEx, UPS, Kuhne+Nagel have used data science to improve their operational efficiency. Using data science, these companies have discovered the best routes to ship, the best suited time to deliver, the best mode of transport to choose thus leading to cost efficiency, and many more to mention. Further more, the data that these companies generate using the GPS installed, provides them a lots of possibilities to explore using data science.
• #46: Medical Image Analysis Genetics and Genomics Drug Development Virtual assistance for patients and customer support
• #47: Data Science and Virtual Reality do have a relationship, considering a VR headset contains computing knowledge, algorithms and data to provide you with the best viewing experience. A very small step towards this is the high trending game of Pokemon GO. The ability to walk around things and look at Pokemon on walls, streets, things that aren’t really there. The creators of this game used the data from Ingress, the last app from the same company, to choose the locations of the Pokemon and gyms.
• #49: Imagine a world, where we are surrounded by robots like these. Will they do any good for us? 
• #51: Data scientists are given the opportunity to develop smart data-driven applications that enable the reduce unnecessary energy use,” says Ronald Root, Senior Data Driven Business Developer & Privacy Officer for Eneco.
• #53: Data scientists will develop solutions with our open data, in which man and machine can work together to benefit the people
• #54: a data-science organization that is solely focused on social good and offers various opportunities for volunteering, whether it’s through mentoring or using your data science skills to help solve a social problem
• #55: A newer, socially-focused competition platform, DrivenData partners with various organizations. These organizations are typically non-profit, focused on difficult social problems with real-world impact.
• #56: A resourceful data scientist can identify and work to solve social good problems on their own, with the data available to them. A great resource for data is the Gap Minder Foundation which provides statistics to understand global trends. Rather than obscuring statistics with emotions or drama, Gap Minder emphasizes objectivity to promote genuine understanding of our world so that we can work better to make it better.
• #57: Data science positions exist and continue to emerge across all sectors, from the private to the public and non-profit sectors. There are so many opportunities to make a meaningful social impact in your professional endeavors. Within the private sector, there are certainly companies that develop innovative solutions to greater societal problems. Data science work is also available for organizations that are oriented towards serving the public good. Governments are beginning to recognize the importance of data in understanding their citizenry, particularly its use in implementing effective, evidence-based interventions and policies.
• #59: Customers are the soul and base of any brand and have a great role to play in their success and failure. With the use of data science, brands can connect with their customers in a personalized manner, thereby ensuring better brand power and engagement. When brands and companies utilize this data in a comprehensive manner, they can share their story with their target audience, thereby creating better brand connect. After all, nothing connects with consumers like an effective and powerful story, that can inculcate all human emotions. With so many tools being developed, almost on a regular basis, big data is helping brands and organisations to solve complex problems in IT, human resource, and resource management in an effective and strategic manner. This means effective use of resources, both material and non-material.
• #60: 4. Understanding the implications of data science can go a long way in helping sectors to analyze their challenges and address them in an effective fashion. 5. There is a large amount of data available in the world today and utilizing them in an proper manner can spell success and failure for brands and organizations. Utilizing data in a proper manner will hold the key for achieving goals for brands, especially in the coming times.
• #61: Learning data science can be really hard.