This is weekend online Training and will be held on 23th March 2019 and 24 March, 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**
When: 23 March 2019 - 24 March 2019
Instructor: Shailendra Pathak
23th March - 1 PM - 3 PM ( EDT )
24th March - 1 PM - 3 PM ( EDT )
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.
Who is the target audience?
No programming experience is required.
Downloading and installing IDE and tools are included in the course
High-school Math ( statistics ) is needed and willingness to learn
MUST have Basic Computer skills needed ( File opening, Command prompt, Web browsing )
What will you get?
After the session, recorded sessions will be shared with you
4 hours trainng, 1 hour Q/A and Interview Tips
All students are eligible for life long support via our forums Q/A. https://www.becloudready.com/forum/questions
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
Shape manipulation of arrays
Advanced data types
Dealing with polynomials
Linear algebra operations
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
Dropping and keeping columns
Summarising basic data -- Mean, Median , percentiles etc
Creating new variables in a dataframe
File slicing and bootstrapping
Practical example and exercise
Advanced Data Mining using Python
Using SQL in python
group by using SQL in python
Aggregation using python functions
For loops and while loops
Appending multiple data Frames
Merging multiple data frames
Creating flag variables
Missing value imputations
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.
If you missed the training there will be no refund. Recorded sessions will be shared and you may be allowed to join future training sessions.
Contact us at dHJhaW5pbmcgfCBiZWNsb3VkcmVhZHkgISBjb20=
for any questions. Group discounts are available. Corporate training is also available.
See our course catalog at - https://www.becloudready.com/training