TANGERANG – To proceed to a higher stage, it is necessary to have a strong foundation on the basics. Most people who learn data science will learn about python too. On Friday (26/11/21), DQLab held another Mini Bootcamp and a Closing Live Session Bootcamp virtually. DQLab collaborated with Kadareka Batch 2A, presenting Python Fundamentals for Data Science. The materials were thoroughly dissected by Putu Rika, a Data Scientist at BISA AI Academy.
“We have to strengthen the fundamentals first, so that in the future it will be more comfortable when coding,” Putu said.
Not just for data science, Python can also be used for web development, software development, etc. From year to year, Python gained popularity in language programming. As data practitioners, several libraries are needed in the data processing process, namely Pandas, Matplotlib, and NumPy. Other alternative coding environments, like Colab and Jupyter, can also be used.
‚ÄúMost companies use Python,‚ÄĚ Putu said.
Putu also shared that when starting a career in data science, actively use LinkedIn. According to her, actively posting something can show a person‚Äôs competence in their field, allowing them to find jobs easier. The ‚Äėlike‚Äô feature in LinkedIn also helps share the post, allowing people to reach more companies.
‚ÄúUsing data science as an example, you can create a post when you join webinars or boot camps on data science. Just like right now, as we are in a webinar talking about data science, if you have an assignment regarding this webinar, you can share it in your LinkedIn accounts. Showing people that you joined a training and have skills related to data,‚ÄĚ Putu said.
It is recommended to conduct more projects on data science in DQLab to help you stand out from other candidates when looking for a job on LinkedIn.
During the closing session of this Boot camp, Putu also dissected the DQLab Python Fundamental module for data science which can be accessed through this link:
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