Data Science Week Day - 1 | Python & Mathematics For Data Science | Data Science Course |Simplilearn

preview_player
Показать описание
Data Science Week Day-1 will teach you Python and Mathematics for Data Science. You will learn the concepts of Python programming such as loops, conditional statements, object-oriented programming, functions and more. This data science course will make you understand the need for probability, statistics, calculus, and linear algebra for data science.

#DataScienceExpert #HowToBecomeADataScienceExpert #DataScientist #DataScience #DataScienceFullCourse #DataScienceTutorial #DataScienceTutorialForBeginners #DataScienceCompleteCourse #Simplilearn

What is Data Science?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

Why Python for Data Science?
Python is the most popular programming language for data science and machine learning and provides a collection of libraries such as NumPy, Pandas, matplotlib, scikit learn, etc to analyze data and build prediction models.

Why Mathematics for Data Science?
Mathematics is equally essential for creating efficient models. You need to learn statistics, probability, calculus, and linear algebra for understanding the working of machine learning algorithms.

Why Data Science?
Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:
1. Find the leading cause of a problem by asking the right questions
2. Perform exploratory study on the data
3. Model the data using various algorithms
4. Communicate and visualize the results via graphs, dashboards, etc.

➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

?utm_campaign=DSWEEKOCT19-O39j2DBN2cc&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
Рекомендации по теме
Комментарии
Автор

0:00 Start
5:25 Top 10 reasons why you should learn python.
19:30 Who is a python developer?
20:20 Python Developer Skillset.
21:50 Python Developer Job Roles
26:05 Features of Python
28:40 Applications of Python
30:35 Python Installation
34:55 Anaconda Python Interface
40:13 First Python Program
55:05 Variables and Expressions
1:04:34 Python Object Types
1:09:10 Type Conversion and Numeric Data Type
1:18:15 Python Strings Tutorial
1:36:00 List and Tuples
1:56:00 Python Dictionaries
2:06:35 Python Type Hirerarchy
2:13:10 Arithmetic Operations In Python

billhikmah
Автор

I probably won't do data science but this info is too valuable to pass up

jamarimcfarlane
Автор

love to watch the whole series of data science week, thanks Simplilearn and team

chandrakantasahoo
Автор

Pls share the jupyter notebooks of python used here. It will be very helpful for revision purpose.

Thanks in advance

AniketKumar-tkmi
Автор

Can we please get an access to the notes you are using. This is very helpful.

ajesShorts
Автор

Can you please provide this file in which theory is written with examples..

learnwithAashish
Автор

Pease share the python notebooks from the lectures, it would be more helpful.

midhundc
Автор

I am thankful for the information but the blurriest and quality of the video is very bad :/ it hurts peoples eyes. Still though thank you for everything

jackielife
Автор

I want to join data science complete course

fussiagya
Автор

by a decent voiceover mic, don't use your laptop mic

shanesavage
Автор

Hey do you give a certificate if I watch the videos

jeremiahkibuthu
Автор

the microphone your using sounds absolutely horrible, good info but painful to listen to, you should be a bit more professional

shanesavage