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edureka!
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Data Science Masters Certification Curriculum, Visit our Website: bit.ly/3sw3tJj
Комментарий от : edureka!


supriya singh
is this enough??
Комментарий от : supriya singh


Satyendra
Hi I am not related to any of the branches neither have degree or certification of any kind still I find it interesting and want to learn it as these are the skills of future
Can anyone please suggest if I have persued BA Maths then what should I do

Комментарий от : Satyendra


Deep's Learning Studio
Thank you so much.....
Комментарий от : Deep's Learning Studio


saqfee shaik
Is this course is sufficient for begginers
Комментарий от : saqfee shaik


rameez khan
am civil engineer|| can i learned?? for data science engineer.??
Комментарий от : rameez khan


Anish Apostate
could you please clear me the dataset at 1:11:00 of video, from where did you get 6 instances true & 8 instances false in the humidity dataset. I am getting 9 yes and 5 no. Please help me out.
Комментарий от : Anish Apostate


Croma Campus
Thanks for sharing this information Edureka. Really Helpful
Комментарий от : Croma Campus


Brainstorming & sharing
👍👍👍👍👍👍👍
Комментарий от : Brainstorming & sharing


Zawar Allahbuxbhatti
Hello edureka team, I really loved your efforts to make such helpful content, now I want to know is that all a data scientist needs to know or this was just for beginners?
Thanks alot anyway 😊

Комментарий от : Zawar Allahbuxbhatti


suchit patil
Can I apply for job after completing this course ?
Комментарий от : suchit patil


Jai Singh
You are best I'm not
Комментарий от : Jai Singh


Rakesh Yadav
you are providing course in hindi or english
Комментарий от : Rakesh Yadav


Rishav Pandit
I want the data sets which you have used in this video, can you send me, please?
Комментарий от : Rishav Pandit


Alam Ansari
Please send me the datasets my email naiyarans@gmail.com
Комментарий от : Alam Ansari


Kassahu alebel
thank you how I get document
Комментарий от : Kassahu alebel


Aruna Duvvuri
Thank you very much for the course edureka. please can I get the slides used through my mail?
my email id is aravind294a@gmail.com.
thanks

Комментарий от : Aruna Duvvuri


Malleswari malli
Nice explanation , very easy to understand to the beginners also #thank you for providing absolutely free in youtube..#very helpful for the researchers
Комментарий от : Malleswari malli


Alina Mirza
Ans probability 11/17
Комментарий от : Alina Mirza


Alan Ajanovic
Hi Edureka, can you pls share the dataset used in your course? Where can I send you my id? Thanks a lot!
Комментарий от : Alan Ajanovic


Vind Ara
Learning Data science with python is good or without python??
Комментарий от : Vind Ara


TechCurious
00:00 Agenda
2:44 Introduction to Data Science
9:55 Data Analysis at Walmart
13:20 What is Data Science?
14:39 Who is a Data Scientist?
16:50 Data Science Skill Set
21:51 Data Science Job Roles
26:58 Data Life Cycle
30:25 Statistics & Probability
34:31 Categories of Data
34:50 Qualitative Data
36:09 Quantitative Data
39:11 What is Statistics?
41:32 Basic Terminologies in Statistics
42:50 Sampling Techniques
45:31 Random Sampling
46:20 Systematic Sampling
46:50 Stratified Sampling
47:54 Types of Statistics
50:38 Descriptive Statistics
55:52 Measures of Spread
55:56 Range
56:44 Inter Quartile Range
58:58 Variance
59:36 Standard Deviation
1:14:25 Confusion Matrix
1:19:16 Probability
1:24:14 What is Probability?
1:27:13 Types of Events
1:27:58 Probability Distribution
1:28:15 Probability Density Function
1:30:02 Normal Distribution
1:30:51 Standard Deviation & Curve
1:31:19 Central Limit Theorem
1:33:12 Types of Probablity
1:33:34 Marginal Probablity
1:34:06 Joint Probablity
1:34:58 Conditional Probablity
1:35:56 Use-Case
1:39:46 Bayes Theorem
1:45:44 Inferential Statistics
1:56:40 Hypothesis Testing
2:00:34 Basics of Machine Learning
2:01:41 Need for Machine Learning
2:07:03 What is Machine Learning?
2:09:21 Machine Learning Definitions
2:!1:48 Machine Learning Process
2:18:31 Supervised Learning Algorithm
2:19:54 What is Regression?
2:21:23 Linear vs Logistic Regression
2:33:51 Linear Regression
2:25:27 Where is Linear Regression used?
2:27:11 Understanding Linear Regression
2:37:00 What is R-Square?
2:46:35 Logistic Regression
2:51:22 Logistic Regression Curve
2:53:02 Logistic Regression Equation
2:56:21 Logistic Regression Use-Cases
2:58:23 Demo
3:00:57 Implement Logistic Regression
3:02:33 Import Libraries
3:05:28 Analyzing Data
3:11:52 Data Wrangling
3:23:54 Train & Test Data
3:20:44 Implement Logistic Regression
3:31:04 SUV Data Analysis
3:38:44 Decision Trees
3:39:50 What is Classification?
3:42:27 Types of Classification
3:42:27 Decision Tree
3:43:51 Random Forest
3:45:06 Naive Bayes
3:47:12 KNN
3:49:02 What is Decision Tree?
3:55:15 Decision Tree Terminologies
3:56:51 CART Algorithm
3:58:50 Entropy
4:00:15 What is Entropy?
4:23:52 Random Forest
4:27:29 Types of Classifier
4:31:17 Why Random Forest?
4:39:14 What is Random Forest?
4:51:26 How Random Forest Works?
4:51:36 Random Forest Algorithm
5:04:23 K Nearest Neighbour
5:05:33 What is KNN Algorithm?
5:08:50 KNN Algorithm Working
5:14:55 kNN Example
5:24:30 What is Naive Bayes?
5:25:13 Bayes Theorem
5:27:48 Bayes Theorem Proof
5:29:43 Naive Bayes Working
5:39:06 Types of Naive Bayes
5:53:37 Support Vector Machine
5:57:40 What is SVM?
5:59:46 How does SVM work?
6:03:00 Introduction to Non-Linear SVM
6:04:48 SVM Example
6:06:12 Unsupervised Learning Algorithms - KMeans
6:06:18 What is Unsupervised Learning?
6:06:45 Unsupervised Learning: Process Flow
6:07:17 What is Clustering?
6:09:15 Types of Clustering
6:10:15 K-Means Clustering
6:10:40 K-Means Algorithm Working
6:16:17 K-Means Algorithm
6:19:16 Fuzzy C-Means Clustering
6:21:22 Hierarchical Clustering
6:22:53 Association Clustering
6:24:57 Association Rule Mining
6:30:35 Apriori Algorithm
6:37:45 Apriori Demo
6:40:49 What is Reinforcement Learning?
6:42:48 Reinforcement Learning Process
6:51:10 Markov Decision Process
6:54:53 Understanding Q - Learning
7:13:12 Q-Learning Demo
7:25:34 The Bellman Equation
7:48:39 What is Deep Learning?
7:52:53 Why we need Artificial Neuron?
7:54:33 Perceptron Learning Algorithm
7:57:57 Activation Function
8:03:14 Single Layer Perceptron
8:04:04 What is Tensorflow?
8:07:25 Demo
8:21:03 What is a Computational Graph?
8:49:18 Limitations of Single Layer Perceptron
8:50:08 Multi-Layer Perceptron
8:51:24 What is Backpropagation?
8:52:26 Backpropagation Learning Algorithm
8:59:31 Multi-layer Perceptron Demo
9:01:23 Data Science Interview Questions

Комментарий от : TechCurious


Samindi Godakanda
Great work...thank you very much
Комментарий от : Samindi Godakanda


Thota Chandrika
It's really useful course ..thanks for providing it's for free
Комментарий от : Thota Chandrika


syed saba
Humanity needed Edureka! ❤
Комментарий от : syed saba


Sujaul Suvon
I think this course should be helpful for my academic education & carrier build up.
ThAnK YoU😍
Note:I am a student at Department of Statistics BsC(Hons)

Комментарий от : Sujaul Suvon


SARTHAK JAISWAL
I love her teaching style...I'm gonna finish this in 2 days, it's so good and easy to learn...wasted 6 months in college learning this and they taught in much detail in 10 hours... it's amazing.
Комментарий от : SARTHAK JAISWAL


Ankit Nayal
can i get all the dataset
Комментарий от : Ankit Nayal


Pothuluru Veerareddy
Thanks edureka
Комментарий от : Pothuluru Veerareddy


HRP Productions
Bro if I learn this 10 hrs course, will I get a job in data science fielf
Комментарий от : HRP Productions


Sharath Premnath
If I complete this 10 hour course and then want to get the certificate, is it possible?
Комментарий от : Sharath Premnath


Gouse Kolimi
can science student learn data science i dont have minimum computer
knowledge also

Комментарий от : Gouse Kolimi


Nazrin Karimova
Hi can you send me solution of examole which in the bayes theorem?
Комментарий от : Nazrin Karimova


thasneema umer
Thank you very much for this great videos.
Комментарий от : thasneema umer


Akanksha Jha
Sir,please share the decision tree algorithm..
Комментарий от : Akanksha Jha


Aditi Gupta
is it mandatory to have math in 12th or college level to be a data scientist?
Комментарий от : Aditi Gupta


Strong Man
Thanks a lot Edurika , I am in 9th for now and I am looking at data science as a career option . I have finished 10 minutes of the video and the topic really interested me , I will be finishing the video in 2 weeks and hopefully I get a fair idea of how Data science works . Again , thanks a lot 😄
Комментарий от : Strong Man


Pandu Devarasetti
tq edureka it is very useful to all
Комментарий от : Pandu Devarasetti


ARUN RAJ
SUPER EDUREKA
Комментарий от : ARUN RAJ


Emmanuel Tettey Lawer
Wow, this is great
Can I please get the datasets used in this course

Комментарий от : Emmanuel Tettey Lawer


mr srk entertainment
Helpful or useful Amazing video thanku you so much edureka! team
Комментарий от : mr srk entertainment


Puneet Tiwari
Simply woww...
Комментарий от : Puneet Tiwari


Mersiha Ćeranić
Hello. Awesome video! Could you please share datasets with me?
Thank you.

Комментарий от : Mersiha Ćeranić


Chitra Kalpesh Vasvani
U ppl are doing amazing job...keep it up...
Комментарий от : Chitra Kalpesh Vasvani


Prabu Venkatesan
Awosome job edureka team
Комментарий от : Prabu Venkatesan


Anubha Gupta
THankyouu for this course
Комментарий от : Anubha Gupta


Brandon cheng
18:20
Комментарий от : Brandon cheng


saryuable
Datasets ?
Комментарий от : saryuable


Dishant Kumbhar
Love u edureka!
Really u just not made us understood concept but coding also.
❣️🙏

Комментарий от : Dishant Kumbhar


Ghulam Mujtaba Adil
may God bless you people .
Комментарий от : Ghulam Mujtaba Adil


Dishant Kumbhar
Guys this is really an awesome tutorial, you won't find out on another channel.
Like if u r watching this video

Thank you Edureka for making us understand complex thing in simplest manner.

Комментарий от : Dishant Kumbhar


VISHWANATH T S
00:00 Agenda
2:44 Introduction to Data Science
9:55 Data Analysis at Walmart
13:20 What is Data Science?
14:39 Who is a Data Scientist?
16:50 Data Science Skill Set
21:51 Data Science Job Roles
26:58 Data Life Cycle
30:25 Statistics & Probability
34:31 Categories of Data
34:50 Qualitative Data
36:09 Quantitative Data
39:11 What is Statistics?
41:32 Basic Terminologies in Statistics
42:50 Sampling Techniques
45:31 Random Sampling
46:20 Systematic Sampling
46:50 Stratified Sampling
47:54 Types of Statistics
50:38 Descriptive Statistics
55:52 Measures of Spread
55:56 Range
56:44 Inter Quartile Range
58:58 Variance
59:36 Standard Deviation
1:14:25 Confusion Matrix
1:19:16 Probability
1:24:14 What is Probability?
1:27:13 Types of Events
1:27:58 Probability Distribution
1:28:15 Probability Density Function
1:30:02 Normal Distribution
1:30:51 Standard Deviation & Curve
1:31:19 Central Limit Theorem
1:33:12 Types of Probability
1:33:34 Marginal Probability
1:34:06 Joint Probability
1:34:58 Conditional Probability
1:35:56 Use-Case
1:39:46 Bayes Theorem
1:45:44 Inferential Statistics
1:56:40 Hypothesis Testing
2:00:34 Basics of Machine Learning
2:01:41 Need for Machine Learning
2:07:03 What is Machine Learning?
2:09:21 Machine Learning Definitions
2:11:48 Machine Learning Process
2:18:31 Supervised Learning Algorithm
2:19:54 What is Regression?
2:21:23 Linear vs Logistic Regression
2:33:51 Linear Regression
2:25:27 Where is Linear Regression used?
2:27:11 Understanding Linear Regression
2:37:00 What is R-Square?
2:46:35 Logistic Regression
2:51:22 Logistic Regression Curve
2:53:02 Logistic Regression Equation
2:56:21 Logistic Regression Use-Cases
2:58:23 Demo
3:00:57 Implement Logistic Regression
3:02:33 Import Libraries
3:05:28 Analyzing Data
3:11:52 Data Wrangling
3:23:54 Train & Test Data
3:20:44 Implement Logistic Regression
3:31:04 SUV Data Analysis
3:38:44 Decision Trees
3:39:50 What is Classification?
3:42:27 Types of Classification
3:42:27 Decision Tree
3:43:51 Random Forest
3:45:06 Naive Bayes
3:47:12 KNN
3:49:02 What is a Decision Tree?
3:55:15 Decision Tree Terminologies
3:56:51 CART Algorithm
3:58:50 Entropy
4:00:15 What is Entropy?
4:23:52 Random Forest
4:27:29 Types of Classifier
4:31:17 Why Random Forest?
4:39:14 What is Random Forest?
4:51:26 How Random Forest Works?
4:51:36 Random Forest Algorithm
5:04:23 K Nearest Neighbour
5:05:33 What is KNN Algorithm?
5:08:50 KNN Algorithm Working
5:14:55 kNN Example
5:24:30 What is Naive Bayes?
5:25:13 Bayes Theorem
5:27:48 Bayes Theorem Proof
5:29:43 Naive Bayes Working
5:39:06 Types of Naive Bayes
5:53:37 Support Vector Machine
5:57:40 What is SVM?
5:59:46 How does SVM work?
6:03:00 Introduction to Non-Linear SVM
6:04:48 SVM Example
6:06:12 Unsupervised Learning Algorithms - KMeans
6:06:18 What is Unsupervised Learning?
6:06:45 Unsupervised Learning: Process Flow
6:07:17 What is Clustering?
6:09:15 Types of Clustering
6:10:15 K-Means Clustering
6:10:40 K-Means Algorithm Working
6:16:17 K-Means Algorithm
6:19:16 Fuzzy C-Means Clustering
6:21:22 Hierarchical Clustering
6:22:53 Association Clustering
6:24:57 Association Rule Mining
6:30:35 Apriori Algorithm
6:37:45 Apriori Demo
6:40:49 What is Reinforcement Learning?
6:42:48 Reinforcement Learning Process
6:51:10 Markov Decision Process
6:54:53 Understanding Q - Learning
7:13:12 Q-Learning Demo
7:25:34 The Bellman Equation
7:48:39 What is Deep Learning?
7:52:53 Why we need Artificial Neuron?
7:54:33 Perceptron Learning Algorithm
7:57:57 Activation Function
8:03:14 Single Layer Perceptron
8:04:04 What is Tensorflow?
8:07:25 Demo
8:21:03 What is a Computational Graph?
8:49:18 Limitations of Single Layer Perceptron
8:50:08 Multi-Layer Perceptron
8:51:24 What is Backpropagation?
8:52:26 Backpropagation Learning Algorithm
8:59:31 Multi-layer Perceptron Demo
9:01:23 Data Science Interview Questions

Комментарий от : VISHWANATH T S


Aryan menon 16
Edureka is great 👍👏😊
Much love to you guys..

Комментарий от : Aryan menon 16


Kumaran bala
love edureka,
Комментарий от : Kumaran bala


mbagraduate application
Nice course! Greetings from UK
Комментарий от : mbagraduate application


Harsh Ranjan
Thank you, it helps me lot
Комментарий от : Harsh Ranjan


shubh verma
thank you so much
Комментарий от : shubh verma


Khayima Arnisti
Thank you very much for your video tutorials, its very help full to me
Комментарий от : Khayima Arnisti


andrzej21111
Thank You so much
Комментарий от : andrzej21111


DRAMES CIRCLE
I am 11 years old .......
I am studying it from age 6

Комментарий от : DRAMES CIRCLE


Shreenidhi R
Excellent video!! Is it possible upload the datasets used in this folder?? Maybe like a drive folder
Комментарий от : Shreenidhi R


Drishal Ballaney
where are the datasets?
Комментарий от : Drishal Ballaney


maheswari mahi
Can I get the datasets used in this course??
Комментарий от : maheswari mahi


Rishabh Kumar
This is what we wanted.. Thank u Edureka for providing us with such a good video for free😊😊
Комментарий от : Rishabh Kumar


Vignesh Pai
Where I can get code and datasets?
Комментарий от : Vignesh Pai


Varsha Singh
Thank you such much for providing precious stuff.
Комментарий от : Varsha Singh


om shah #prayagraj
It's very helpful video ...
Комментарий от : om shah #prayagraj


akhil shaganti
Amazing content, loved it!
Комментарий от : akhil shaganti


Garry
what is the difference between ur course on youtube and paid ones on your website?
Комментарий от : Garry


Debojyoti Mandal
Just Completed the 10hrs theory.
Комментарий от : Debojyoti Mandal


David Foster
It's a great beginners course. Loved it, thank you for getting me started off.
Комментарий от : David Foster


Naaz
Thank you for this wonderful course 💗
Комментарий от : Naaz


All About Studies
1:00:00
Комментарий от : All About Studies


Rupesh Sunuwar
Thanks for the information and knowledge❤
Комментарий от : Rupesh Sunuwar


Mail Rama
Im just 12 years old and excited about data science
Комментарий от : Mail Rama


Ravi Ranjan
Great thanks for sharing this lecture.
Комментарий от : Ravi Ranjan


Malik Muhammad Ali
Thabkyou so much Edureka ❤
Комментарий от : Malik Muhammad Ali


Panchanan Sahoo
Thanks edureka for this video 💗💗
Комментарий от : Panchanan Sahoo


Gohar Ali
Please we need this course in hindi
Комментарий от : Gohar Ali


Daniel Mwaura
Awesome video. Is it possible to have the data used?
Комментарий от : Daniel Mwaura


yash shukla
Biggest fan and i just watch edureka videos only
Комментарий от : yash shukla


Giri Vardhana Kumar
Edureka team gets 5 star room in heaven

Thanks for the amazing video I love this video a lot

Комментарий от : Giri Vardhana Kumar


U N
Thank you so much edureka! for this video. This is so beneficial for me as a beginner. 😊😊
Комментарий от : U N


Saksham Sharma
thankyou edureka for being in youtube and giving us the best courses free without any cost
love you edureka
thanks keep it up

Комментарий от : Saksham Sharma


Hashem Alattas
thanks
Комментарий от : Hashem Alattas


Shine Minn Kha
Where can I get data sets like those used for titanic in the this video?
Комментарий от : Shine Minn Kha


Amit Sindhya
world level clear concept platform thanku so muchhh edureka
Комментарий от : Amit Sindhya


Pragya Yadav
👍
Комментарий от : Pragya Yadav


Abhijeet Mishra
Can we have certificate on this course?
Комментарий от : Abhijeet Mishra


yes_i_aM
Awesome tutorial.. Got a alot of knowledge.
Комментарий от : yes_i_aM


viswa nath
Hi, please help me out with this
Where could I get the headbrain.Csv dataset
And can. I get the all dataset link below

Комментарий от : viswa nath


QASIM HASSAN
Nice
Комментарий от : QASIM HASSAN


shradha bhadoria
saw till 1hr . it's great . thanks a lot to the creators .
Комментарий от : shradha bhadoria


JASANI SETU
Thank you Edureka!!
I just love it data science now.

Комментарий от : JASANI SETU


Vivek Wadhwa
This video is literraly awesome for Data Science using Python. Very nice. Thanks.
Комментарий от : Vivek Wadhwa


Coding for Coder
hey plz provide the CSV data of titanic
Комментарий от : Coding for Coder


Peter Pikcha
Past 30 seconds. Love this tutor already. 😍
Комментарий от : Peter Pikcha


ademola abiodun saheed
Great
Комментарий от : ademola abiodun saheed


Vishant Dubey
Can you please provide the code for the decision tree algorithm.
Комментарий от : Vishant Dubey


M yadav
What can I expect after watching this 10 hr video lecture ?
Комментарий от : M yadav



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