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About the Class

Python for Analytics: Complete Data Science Course.

Hello everyone, this is Vincent Torre Bongolan, a data scientist by profession with more than 17 years of experience in technology and analytics. I have been from almost 40 organizations all throughout my careers which include project-based and full-time engagements. I have helped more than 30 organizations abroad via online- collaborations.

Since 2010, I have been working from home through online job collaborators. New normal to me is not actually new normal. The global pandemic outbreak has just become a big factor for speedy digital transformation. In fact, long before the Pandemic outbreak, I can see that there will be a big leap and explosion of careers in analytics and data science professionals that is why I started date engine training and consultancy in 2014. DETC is true to its envisioned mission and vision that we are going to produce more than 500 data scientists in the next 5 years, thus we provide training, workshops, seminars and boot camps on data science. We are also a proud partner of online e-learning platforms and contributions in the Philippines and abroad for us to reach the aspirants in the field of analytics.

Alright, I am inviting you guys to enroll and be part of this initiative to learn and become into the mainstream of technology and analytics. I am proud to offer you the most advanced and comprehensive course on Data Science. Python is a computer programming language that was written and introduced in the 1990s by Guido Van Rossum.

Guido Van Rossum is a Dutch programmer who was born in Haarlem, the Netherlands on January 31, 1956. He has a master’s degree in mathematics and computer science from the University of Amsterdam in 1982.  Python is very visible with its unprecedented power and usefulness, Python has become of the hottest and fastest-growing programming language since it was launched and is become one of the buzzwords in digital transformations together with other domains in the Pantheon of technology data science and big data.

Data Science is a multi-disciplinary skill in statistics/ data mining, computer science, and business management. Data Science was regarded as the solution to provide scalable insights based on big data. The advancement in technology makes these domains and areas visible to almost all big industries today. Big enterprises invested a huge amount of money to install the Data Science team in their organization to take care of and manage big data infrastructures and architecture.

Prior to Pandemic Outbreak, these companies are continuously reaping success and not being swayed down because of the successful deployment of Artificial Intelligence Technology, Machine Learning, Automation, Internet of Things (IoT), Blockchain, and other areas of Data Science.

Skills in Statistics, Data Mining, or Data Wrangling was successfully used and applied to these companies and areas because of the Computer Programming Language such as Python. Business Models were carefully curated by experts in Business Management. Thus, Data Science was regarded as the sexiest job in the 20th Century because it encapsulated a wide spectrum of knowledge, skills, and expertise.

Based on the stack overflow developer’s survey in 2019, Python was regarded as the second and the most preferred language with 73% of the developers are choosing it over other programming languages and is expected to dominate the Marketplace for Programming Languages.

Python is very useful in general aside from being an open-source programming language. It was used by Amazon, Google, Reddit, Instagram, and all other big companies around the world.

Python is a user-friendly programming language Python was able to simplify the coding process just like transforming complicated coding to make it simpler and more straightforward. This what makes Python easy to learn and understand that even kids can able to understand and use.

  • Python makes us more Productive instead of us taking further education to know the old school programming languages, Python makes everything simple. It makes the programming task a lot easier compared with other programming languages
  • Python is very dangerous in a positive way it can be used for anything. It is very powerful as you can generate insights based from actual sentiments of the people, It can replicate things through machine learning algorithms, It can automate things through automation, It can replicate human through the development of virtual agents and the like. Because of its powers, it comes with great responsibility. It can be dangerous if you will use its powers to connive with evil who have a lot of destruction activities which includes all forms of fraud
  • Python is a language for creating the script you can directly type your script to its interpretation environments such as IDLE and many others. It does not require compilation like any other language. You can easily detect and identify errors in your scripts. This makes programming a fan activity
  • Python is a cross-platform programming language  Anyone can use it as long as you have the motivation and purpose of using it. If you are in the non-analytic field but you want to learn this because you have a goal and motivation, you can easily use it. You can use and install Python on Windows, Mac, Linux, and other platforms like Raspberry Pi. You can also run Python on Android and IOS tablets
  • Python uses dynamic typing of variables when you start programming, you do not actually need to explain the machine what the variables is supposed to be. You can just write your variables as it is.
  • Python is a very collaborative language there are so many experts who have written libraries. You do not need to build and create your own library as there are available libraries in place. All you can do is install it
  • Python is an Open-Source Programming Language. It does not require you to pay for licenses. You can download and run python from different distribution channels like such as Anaconda

Where to use Python: Python can be used everywhere and anywhere. You can use Python to whatever you plan to do or interested to work on. In Space Python was used for the central command system at the international space station’s robonaut 2. The European Mission to Mars was planning to use Python to collect and study soil samples.

  • In laboratories, Python was used to generate insights from the atom-smashing experiments at the CERN large hadron collider
  • In Astronomy  Python was used to control and monitor the system of the MeerKat Radio Telescope Array
  • In the movie studio, star wars experts use Python to automate movie productions. Effects Software’s computer-generated imagery program Houdini uses Python for the Programming interface and to script the engine
  • In games, Activision uses Python for building games, testing, and analyzing stuff. They are also using Python to detect people cheating in-game activity
  • In the video and music industry Spotify, Netflix, and other streaming services use Python for the recommendation engine. It understands the people’s preference when it comes to music, movies and therefore, automatically generates recommendations
  • In the search engine, Google uses Python all over in its early development stage
  • In medicine, other Medical Institutions, Drugs Manufacturing company uses Python to develop medicine for illnesses such as Cancer
  • In virtual agents and Robots Python was used to developed applications for robots
  • Internet of things(IoT) – you can use python to the developed applications for automation and for other integrated systems in the Internet of things

Author

Vincent Bongolan

Data Scientist I AI Lead for Innovation I Business Intelligence I Statistician I Professor I Businessman I Analyst
Vincent Torre Bongolan is a Data Scientist by profession with more than 17 years of experience in Research, Statistics, Data Science, Analytics and IT services by providing insights and services to the stakeholders. He started offering consultancy with his fellow students in the University until he became known for offering statistical...

School

Vincent Bongolan's School

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What's Included

Language: English
Level: All levels
Skills: Programmers, Analytics, Computer Programming Language, Data Scientist
Age groups: All ages
Duration: 3 hours 51 minutes
21 Videos
8 Documents
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