Velacheri, Chennai, India - 600042.
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English Proficient
Anna Univeristy Pursuing
Doctor of Philosophy (Ph.D.)
AU TVS CQM, ANNA UNIVERSITY 2019
Python - Hands on Workshop - Expert Resource Faculty
Velacheri, Chennai, India - 600042
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Python, Machine learning, Artificial Intelligence, R Programming, Java
Teaching Experience in detail in Data Science Classes
Data Science with Python Training Contents 1 Data Science with Python Training Overview 1.1 Objectives of the Course 1.2 Pre-requisites of the Course 1.3 Who can attend this course 2 Data Science with Python Course Content 2.1 Data Science with Python Course Introduction 2.2 Environment Set-Up 2.3 Jupyter Overview 2.4 Python Crash Course 2.5 Python for Data Analysis-NumPy 2.6 Python for Data Analysis-Pandas 2.7 Python for Data Analysis-Pandas Exercises 2.8 Python for Data Visualization-Matplotlib 2.9 Python for Data Visualization-Seaborn 2.10 Python for Data Visualization-Pandas Built-in Data Visualization 2.11 Python for Data Visualization-Plotly and Cufflinks 2.12 Python for Data Visualization-Geographical Plotting 2.13 Introduction to Machine Learning 2.14 Linear Regression 2.15 Logistic Regression 2.16 K Nearest Neighbours 2.17 Decision Trees and Random Forests 2.18 Support Vector Machines 2.19 K Means Clustering 2.20 Principal Component Analysis 2.21 Recommender Systems 2.22 Natural Language Processing 2.23 Big Data and Spark with Python 2.24 Neural Nests and Deep Learning
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in C Language Classes
3
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
No
Python applications taught
Data Analysis with Python , Web Development with Python , Text Processing with Python, Machine Learning with Python, Data Visualization with Python, Automation with Python , Regular Expressions with Python , Game Development with Python, Data Extraction with Python , GUI (Graphical User Interfaces) with Python , Scipy Stack with Python , Data Science with Python, Web Scraping with Python
Teaching Experience in detail in Python Training classes
I can provide you with the best services in Developing and Training(with PRACTICAL KNOWLEDGE) : ? Artificial Intelligence (Machine Learning and Deep Learning) ? Computer vision through ML /DL, Power AI ? Data science ? Scientific Computing with Python ? Statistical Computing with R programming ?Blockchain development(PoS, PoW) ? Web/App automation, Data scraping ? C/C++, Java, Python,
Class Location
Online (video chat via skype, google hangout etc)
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
3
Deep_Learning_Techniques
Python, Tensorflow
Teaching Experience in detail in Deep Learning Training
Our class will take to next vision of your programming.. Knowledge..
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
3
Teaching Experience in detail in R Programming
Let's start the statistical engineering... through r programming..
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
3
Data analysis concepts taught
Regression Analysis, Prediction Analytics, Time Series Analysis, Stochastics Processes, Cluster Analysis, Survival Analysis
1. Which classes do you teach?
I teach C Language, Data Analysis, Data Science, Deep Learning, Python Training and R Programming Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 3 years.
Answered on 30/01/2020 Learn IT Courses/Programming Languages/Python
Answered on 27/08/2018 Learn IT Courses/Data Science
Answered on 27/08/2018 Learn IT Courses/Data Science
Answered on 27/08/2018 Learn IT Courses/Data Science
Hi,
Data Science With R Programming
Fee 12000/-
Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart
Various Analytics Tools
Descriptive
Predictive
Web Analytics
Google Analytics
Fundamentals Of R
R and features
Evolution of R?
Bigdata Hadoop and R
Working With R & RStudio
R & RStudio Installation
Data Types
Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R
Importing Data
JSON files
CSV files
Database data (Oracle 11g)
XML files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R
Manipulating Data
Sorting
Cbind, Rbind
Aggregating
Dplyr
Conditional Statements
For loop
If …else
While loop
Repeat loop
Functions
tApply ()
Apply ()
sApply ()
rApply ()
Statistical Concepts
Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
tTest
Correlation
Covariance
Anova
Predictive Modelling
Linear Regression
Normal Distribution
Density
Data Visualization In R Using GGPlot
Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps
Data Visualization Using Plotly
3D-view
Geo Maps
Misc. Functions
Null Handling
Merge
Grep
Scan
Advance Topics In R
Text Mining
Exploratory Data Analysis
Machine Learning with R (concept)
Data Science With R
Algorithms
Classifications
Clustering
Supervised learning
Unsupervised learning
Bayesian
Boosting
K-means
Nearest Neighbours (KNN)
Page Rank
Support Vector Machines
Random forest
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Python, Machine learning, Artificial Intelligence, R Programming, Java
Teaching Experience in detail in Data Science Classes
Data Science with Python Training Contents 1 Data Science with Python Training Overview 1.1 Objectives of the Course 1.2 Pre-requisites of the Course 1.3 Who can attend this course 2 Data Science with Python Course Content 2.1 Data Science with Python Course Introduction 2.2 Environment Set-Up 2.3 Jupyter Overview 2.4 Python Crash Course 2.5 Python for Data Analysis-NumPy 2.6 Python for Data Analysis-Pandas 2.7 Python for Data Analysis-Pandas Exercises 2.8 Python for Data Visualization-Matplotlib 2.9 Python for Data Visualization-Seaborn 2.10 Python for Data Visualization-Pandas Built-in Data Visualization 2.11 Python for Data Visualization-Plotly and Cufflinks 2.12 Python for Data Visualization-Geographical Plotting 2.13 Introduction to Machine Learning 2.14 Linear Regression 2.15 Logistic Regression 2.16 K Nearest Neighbours 2.17 Decision Trees and Random Forests 2.18 Support Vector Machines 2.19 K Means Clustering 2.20 Principal Component Analysis 2.21 Recommender Systems 2.22 Natural Language Processing 2.23 Big Data and Spark with Python 2.24 Neural Nests and Deep Learning
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in C Language Classes
3
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
No
Python applications taught
Data Analysis with Python , Web Development with Python , Text Processing with Python, Machine Learning with Python, Data Visualization with Python, Automation with Python , Regular Expressions with Python , Game Development with Python, Data Extraction with Python , GUI (Graphical User Interfaces) with Python , Scipy Stack with Python , Data Science with Python, Web Scraping with Python
Teaching Experience in detail in Python Training classes
I can provide you with the best services in Developing and Training(with PRACTICAL KNOWLEDGE) : ? Artificial Intelligence (Machine Learning and Deep Learning) ? Computer vision through ML /DL, Power AI ? Data science ? Scientific Computing with Python ? Statistical Computing with R programming ?Blockchain development(PoS, PoW) ? Web/App automation, Data scraping ? C/C++, Java, Python,
Class Location
Online (video chat via skype, google hangout etc)
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
3
Deep_Learning_Techniques
Python, Tensorflow
Teaching Experience in detail in Deep Learning Training
Our class will take to next vision of your programming.. Knowledge..
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
3
Teaching Experience in detail in R Programming
Let's start the statistical engineering... through r programming..
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
3
Data analysis concepts taught
Regression Analysis, Prediction Analytics, Time Series Analysis, Stochastics Processes, Cluster Analysis, Survival Analysis
Answered on 30/01/2020 Learn IT Courses/Programming Languages/Python
Answered on 27/08/2018 Learn IT Courses/Data Science
Answered on 27/08/2018 Learn IT Courses/Data Science
Answered on 27/08/2018 Learn IT Courses/Data Science
Hi,
Data Science With R Programming
Fee 12000/-
Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart
Various Analytics Tools
Descriptive
Predictive
Web Analytics
Google Analytics
Fundamentals Of R
R and features
Evolution of R?
Bigdata Hadoop and R
Working With R & RStudio
R & RStudio Installation
Data Types
Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R
Importing Data
JSON files
CSV files
Database data (Oracle 11g)
XML files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R
Manipulating Data
Sorting
Cbind, Rbind
Aggregating
Dplyr
Conditional Statements
For loop
If …else
While loop
Repeat loop
Functions
tApply ()
Apply ()
sApply ()
rApply ()
Statistical Concepts
Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
tTest
Correlation
Covariance
Anova
Predictive Modelling
Linear Regression
Normal Distribution
Density
Data Visualization In R Using GGPlot
Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps
Data Visualization Using Plotly
3D-view
Geo Maps
Misc. Functions
Null Handling
Merge
Grep
Scan
Advance Topics In R
Text Mining
Exploratory Data Analysis
Machine Learning with R (concept)
Data Science With R
Algorithms
Classifications
Clustering
Supervised learning
Unsupervised learning
Bayesian
Boosting
K-means
Nearest Neighbours (KNN)
Page Rank
Support Vector Machines
Random forest
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