Data Science for Beginners: Data Science Intro Course
What you'll learn
- Explanation of key concepts in data science: big data, data mining, libraries, datasets, API's
- Programming languages and which ones to learn
- Data Science Methodology, expressed via Healthcare Insurance Company Case Study
- Experience The Power of Machine Learning and Natural Language Processing via Chatbot Example
- GitHub; how to use it for collaboration and version control.
Course content
- Preview02:41
- 02:13What a Data Scientist Does?
- 02:21Big Data
- Preview04:16
- 03:57Machine Learning vs. Deep Learning
- Preview04:39
Requirements
- No. This is ideal for a beginner to Data Science.
Description
Welcome! If you see Data Science as a potential career in your future, this is the perfect course to get started with.
Our course does not require any previous Data Science experience. The goal of 'Data Science for Beginners' is to get you acquainted with Data Science methodology, data science concepts, programming languages, give you a peak into how machine learning works, and finally show you a data science tool like GitHub, which lets you collaborate with your colleagues.
Now, while this is a beginner course, it does not mean that it is an easy course. For example in the Data Science methodology section, many different concepts are introduced. But please keep in mind that a. you will get concrete examples of what each concept means when it is brought up b. you can ask questions in the Q and A and c. most importantly, you are not meant to understand all the concepts . Going through the methodology is meant to introduce you to concepts, not prepare you to fully apply them. You will get a chance to do this in other courses (ours or other providers).
Beyond this, you will get to build a simple chatbot. This hands-on activity will illustrate in a more interactive way how machine learning works and how you can provide a machine learning service such as this in your future career.
More practical/hands-on activities will be added by February 28th, 2021.
So, don't hesitate. Start your Data Science learning journey today!
Who this course is for:
- Beginners to Data Science.
- Individuals considering switching fields.
- Individuals who want to get a general overview before focusing on specific Data Science topics.
Instructor
![Ermin Dedic](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 4,967 Reviews
- 41,767 Students
- 24 Courses
I have a passion for anything data, whether it is applying statistical methods to data more generally, or utilizing a data-driven approach in the Healthcare or Finance/Banking industries.
I studied Psychology for 6-years, including 2 years of Graduate school, where I was training to be a Child/School Psychologist. I was fortunate enough to have the opportunity to experience a blend of course work and clinical work but also recognize some of the problems facing the mental health system and graduate school system. While I am very interested in finding a solution for the latter, this is a long-term goal.
I did ultimately decide to voluntarily leave the Grad program, it was via academics that I fell in love with statistics and statistical software like SPSS/SAS.
Furthermore, it was my Graduate school experience that not only solidified my interest in teaching, it's where I received a lot of positive feedback on my ability to break down complex topics.
I enjoy receiving messages from students who have passed exams, obtained interviews, or gained employment, from taking one of my courses.
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Para meus alunos de língua portuguesa ...
Sou apaixonado por estatística, ciência de dados, programação orientada a objetos e psicologia / saúde mental. Eu desenvolvi um conhecimento em Programação e Estatística SAS através da minha escolaridade e auto-estudo. Também sou autodidata em programação orientada a objetos.
Eu sou um ex-aluno de graduação em psicologia educacional. Dois anos depois, decidi me retirar voluntariamente. Aprendi que o ambiente acadêmico tradicional e o ambiente clínico não eram o caminho adequado para promover mudanças em larga escala.
Ensinar é uma paixão há muito tempo. Criei meu primeiro curso de vídeo online em 2016 (um curso de Estatística). Foi um projeto de pura paixão. Como resultado de obter ótimos comentários, continuei! Atualmente, ensino os cursos de SAS, estatísticas e psicologia, mas também estou sempre aprendendo. Gosto de receber mensagens de alunos que passaram nos exames, obtiveram entrevistas ou obtiveram emprego ao fazer um de meus cursos.
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