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.
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.