# Certified Data Scientist (OLD)

Certified Data Scientist

Beginner 5(7 Ratings) 2295 Students enrolled
Created by Ashok Veda Last updated Mon, 28-Dec-2020 English
What will i learn?

Curriculum for this course
98 Lessons 31:36:27 Hours
ALL RESOURCES
1 Lessons
• jupyter notebook
• Data-Science-Foundation
• Data-Science-Foundation 00:23:49
• Resources Attachment-Resampling-Methods
• Resources DS-Statistics
• Resources Linear methods and classification
• Resources Univariate Multivariate Statistics
• Statistics Introduction 00:23:47
• Harnessing-Data 00:19:22
• Exploratory-Analysis 00:34:34
• CTL 00:34:11
• Hypothesis-Testing 00:37:50
• Hypothesis-Testing-One-Way-Anova-Tests 00:19:00
• attachment-One-way-Anova.ipynb
• attachment-Hypothesis-Testing-T-tests.ipynb
• attachment-Hypothesis-Testing.ipynb
• Correlation 00:17:05
• Jupyter Notebook
• Python-Essentials-1 attachment-Python-Module1
• Python-Essentials-1 Attachment-Python-Quick-Tutorial
• Python-Essentials-1 DataMites-Python-Language-Basics
• Python-Essentials-2 Attachment-Python-Module1
• Python-Essentials-2attachment-Python-Quick-Tutorial
• Resources Data Prepration Non-linear-methods
• Resources Data Prepration Univariate-Multivariate-Statistics
• Resources Data Prepration Linear methods and classification
• Attachment-Python-Numpy-Package
• DataMites-Python-Numpy
• Pandas-Essentials-1 Attachment-Python-Pandas-Module-3-4
• Pandas-Essentials-1-DataMites-Pandas-Material.pdf
• Data-Science-Training-Python-Pandas-Essentials2-Module3-Part2
• Python-Pandas-Essentials2-Module3-Part2. 00:26:16
• attachment-Pandas-Data-from-MySQL-server.ipynb
• pandas-mysql-data 00:00:00
• DataMites-Visualization-Matplotlib
• Visualization-M4P1 00:30:28
• Machine-Learning-Introduction
• Machine-Learning-Introduction 00:30:58
• Linear-Regression-Deck
• Linear-Regression attachment-mtcars
• attachment-LinearRegression.ipynb
• Linear-Regression-Coding 00:35:00
• Logistic-Regression-Deck
• Learning-Logistic-Regression-Theory 00:24:08
• attachment-Logistic-Regression-Tut.ipynb
• attachment-Logistic-Regression-V1-0.pdf
• attachment-mtcars.csv
• attachment-pass.csv
• Logistic-Regression-Part1 00:00:00
• Logistic-Regression-Part2 00:00:00
• KMeans-Deck
• attachment-K-Means-V1-0.pdf
• attachment-KMeans-tut.ipynb
• K-Means-Part-1 00:00:00
• K-Nearest-Neighbour.pdf
• K-Nearest-Neighbour-attachment-mtcars
• attachment-K-Nearest-Neighbor-Tut.ipynb
• K-Nearest-Neighbour-part1 00:09:47
• Decision-Tree
• Decision-Tree-Theory attachment-cc-default.csv
• Decision-Tree-Part1. 00:16:17
• Machine-Learning-Decision-Tree-Coding 00:25:56
• Machine-Learning-Random-Forest-Deck
• Theory Attachment-Random-Forest-Tut.ipynb
• Machine-Learning-Random-Forest-Coding 00:18:24
• Machine-Learning-Random-Forest-Theory Part1 00:08:47
• Machine-Learning-Naive-Bayes-Deck
• Naive-Bayes-Coding attachment-spam.csv
• Naive-Bayes-Coding attachment
• Naive-Bayes-Theory Part1 00:17:03
• Naive-Bayes-Coding-Part 2 19:45:00
• Support-Vector-Machine-Deck
• Support-Vector-Machine-Theory attachment-SVM-basic
• Support-Vector-Machine-Theory attachment
• Support-Vector-Machine-Theory-Part1 00:12:19
• Support-Vector-Machine-Coding attachment-SVC-ML-gridsearch.ipynb
• Support-Vector-Machine-Coding 00:19:22
• Artificial-Neural-Network-ANN-Deck
• attachment-Artificial-Neural-Network.ipynb
• Artificial-Neural-Network-ANN-Theory 00:22:59
• Artificial-Neural-Network-ANN-Coding 00:25:22
• Principle-Component-Analysis-Deck
• Principle-Component-Analysis-Theory 00:13:07
• Principle-Component-Analysis-Coding 00:10:02
• ML-Deployment-END-to-END-ML-case-study
• Time-Series-Desk
• Time-Series-Forecasting-Theory-Part-1 00:30:33
• attachment-ARIMA-Time-Series.ipynb
• attachment-sales-cars.csv
• ARIM-in-Python-Time-Series-Forecasting-Part2 00:38:20
• Tableau Introduction,Connecting,Data-Source,Basic-Visualizations. 00:20:14
• 2_Tableau-Layout-Measures-and-Dimensions.mp4 00:09:58
• 3-Tableau-Visualizing-Super-Store-data.mp4 00:09:17
• 4-Tableau-Forecasting 00:06:24
• 5-Tableau-Publishing-and-Sharing 00:06:32
Requirements
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Description
Certified Data Scientist
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• 40 Reviews
• 5575 Students
• 40 Courses
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Ashok Veda is the Founder-CEO of Rubixe, an AI company.

Ashok has 15 years of experience in the field of analytics and data science, guiding more than 10,000 data science aspirants, delivering numerous key speeches on AI and Data Science in various prestigious forums.

Ashok is a Ph.D. scholar in the field of AI in Marketing, holds an MBA from the University of Amsterdam (UVA), and IIM Ahmedabad, Engineering degree from NIT Warangal.

Student feedback
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Reviews
• Tue, 01-Sep-2020
• Tue, 06-Oct-2020
Karan Shah
• Fri, 30-Oct-2020
divya Vani
• Fri, 30-Oct-2020
Usha Rani
Comprehensive and easy to understand.
• Tue, 22-Dec-2020
Rahul Solanki
• Sat, 29-May-2021
Jayant Kumar
Great
• Sun, 06-Jun-2021