This is weekend online Training and will be held on 16th Feb 2019 and end on 17th Feb. Saturday and Sunday Afternoon classes for 2-3 hours with Live Instructor from Toronto, Canada
**No pre-recorded, every session will be interactive session with instructor**
Where: Virtual
When: 16 Feb 2019 - 17 Feb 2019
Instructor: Shailendra Pathak, Chandan Kumar
Content:
General Admission is ($50)
Tired of Cookie cutter AI/Machine learning course? We feel your pain where Instructor is worse than Wikipedia?
Don't get fooled by all cookie cutter courses where they only talk about ready to use Libraries and tools, our program is a ground up approach where we teach the Math behind each algorithm and then teach how to code it in Python. No programming experience needed as we will teach you Python as well.
Each module will have task and assignment ( home work) so that you could apply what you learned. All solved assignments are posted next week. We also provide Interview preparation at end of the session.
All students are eligible for life long support via our forums Q/A.
No programming experience is required.
Downloading and installing IDE and tools are included in the course
High-school Math and willingness to learn
Intro and set up
Setting up python at your machines
Introducing python IDE
Basics about python
What is Python
Basics about python and its advantages over other platforms
How python handles data
Lists, arrays and dataframes
Python for Data Analysis and Scientific Computing
Intro to libraries like scipy, numpy, pandas, Matplotlib etc
Operations with arrays and scalars
Indexing, slicing
Shape manipulation of arrays
Data sorting
Advanced data types
Type casting
Dealing with polynomials
Random numbers
Linear algebra operations
Input/Output
Interpolation
Practice Questions
Data Handling and mining in python with example
Importing external files and data sets
Writing external files
Descriptive analysis using Python
Exploring data type of variables and changing the data types
Exploring frequency distribution of variables
Handling Dates
Dropping and keeping columns
Summarising basic data -- Mean, Median , percentiles etc
Creating new variables in a dataframe
Filtering data
File slicing and bootstrapping
Data Visualization
Histograms
Bar Charts
Scatter Plots
Candlestick Graphs
Practical example and exercise
Advanced Data Mining using Python
Functions
Using SQL in python
group by using SQL in python
Aggregation using python functions
For loops and while loops
Appending multiple data Frames
Concatenating data
Merging multiple data frames
Creating flag variables
Missing value imputations
REFUND POLICY
100% refund only, if you can't attend it due to medical emergencies with proof.
If the training has not been conducted for any reason, full refund.
if you just change your mind then you will be assigned to next batch.
Contact us at training@becloudready.com for any questions. Group discounts are available. Corporate training is also available.
See our course catalog at -