book for a free demo

Thursday May 17th – Friday October 26th 2018

Sorry, bookings for this event are now closed.

QA Training Hub is best data science Online Training Center in India. Data science Online Training provided by real time working Professional Mr. Dinesh 18+ years experienced working trainer. Visit: http://www.qatraininghub.com/data-science-online-training.php Contact: Mr. Dinesh Raju : India: +91-8977262627, USA: : +1-845-493-5018, Mail: info@qatraininghub.com

Data Science Online Training Course Content

Introduction to Python Programming

- Data
- Big Data
- Data Science Deep Dive
- Intro to R Programming
- R Programming Concepts
- Data Manipulation in R
- Data Import Techniques in R
- Exploratory Data Analysis (EDA) using R
- Introduction to Data Science
- Introduction to Python
- Basic Operations in Python
- Variable Assignment & Examples
- Functions: in-built functions, user defined functions & Examples
- Condition: if, if-else, nested if-else, else-if & Examples

Data Structure's

- Introduction DS
- List Operations
- Different Data Types in a List,List in a List & with Examples
- Operations on a list: Slicing, Splicing, Sub-setting
- Conditions(True / False) on a List
- Applying Functions on a List
- Dictionary: Index, Value
- Operation on a Dictionary: Slicing, Splicing, Sub-setting
- Condition(True / False) on a Dictionary
- Applying functions on a Dictionary
- Numpy Array: Data Types in an Array, Dimensions of an Array & with Examples
- Operations on Array: Slicing, Splicing, Sub-setting
- Conditional(True / False) on an Array
- Loops: For, While with Examples
- Shorthand for For with Examples
- Conditions in shorthand for For & with Examples

Basics of Statistics

- Introduction of Statistics & Plotting
- Introduction of Seabourn & Matplotlib
- Univariate Analysis on a Data
- Plot the Data - Histogram plot
- Find the distribution
- Find mean, median and mode of the Data
- Multiple Data with Same Mean with different sd, same mean & SD but different kurtosis: find mean, sd, plot & Examples
- Multiple data with different distributions
- Bootstrapping and sub-setting
- Making samples from the Data
- Making stratified samples - covered in bivariate analysis
- Find the mean of sample
- Central limit theorem
- Plotting
- Hypothesis testing + DOE
- Bivariate analysis
- Correlation
- Scatter plots
- Making stratified samples
- Categorical variables
- Class variable
- Use of Pandas
- File I/O
- Series: Data Types in series, Index
- Data Frame
- Series to Data Frame
- Re-indexing
- Operations on Data Frame: Slicing, Splicing (also Alternate), Sub-setting
- Pandas
- Stat operations on Data Frame
- Reading from different sources
- Missing data treatment
- Merge, join
- Options for look and feel of data frame
- Writing to file
- db operations

Data Manipulation & Visualization

- Data Aggregation, Filtering and Transforming
- Lamda Functions
- Apply, Group-by , Map, Filter and Reduce
- Visualization
- Matplotlib, pyplot & Seaborn
- Scatter plot, histogram, density, heat-map, bar charts
- Linear Regression
- Regression - Introduction
- Linear Regression: Lasso, Ridge
- Variable Selection
- Forward & Backward Regression

Logistic Regression

- Logistic Regression: Lasso, Ridge
- Naive Bayes
- Unsupervised Learning - Introduction
- Distance Concepts , Classification , k nearest
- Clustering, k means,Multidimensional Scaling
- PCA
- Random Forest
- Decision trees
- Cart C4.5
- Random Forest
- Boosted Trees
- Gradient Boosting
- SVM
- SVM - Introduction
- Hyper-plane
- Hyper-plane to segregate to classes
- Gamma
- Data Visualization in R
- Big Data and Hadoop Introduction
- Understand Hadoop Cluster Architecture
- Map Reduce Concepts
- Advanced Map Reduce Concepts
- Hadoop 2.0 & YARN
- PIG
- HIVE
- HBASE
- SQOOP
- Flume & Oozie
- Statistics + Machine Learning
- Python
- Machine Learning Using Python
- Projects

**Starts:**
Thursday, May 17th 2018
at 12:00am

**Ends:**
Friday, October 26th 2018
at
9:00am

Timezone: Asia/Kolkata

Bookings close: July 26th 2018

This event is organized by QA Training Hub.

Visit the website for full details

Telephone 08977262627

Contact the event organizer

Lost or not received your tickets?

© 2018 LIVE IT Group Ltd, Registered in England, number 08432364 at 3 Enterprise Centre, TN11 8BG

LIVE IT is a technology partner providing ticket fulfilment services and is not an agent for this event or affiliated with its organizers in any way.

Background image by Stew Dean (Creative Commons BY 2.0)