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The event you are looking at is a past event. Check out this upcoming event Data Analytics in Python Training (WeekDay) : Scipy, Numpy, Pandas, Matplotlib (4 Hours Live Online)-Louisville happening on Wed Apr 17 2019 at 06:00 pm at Louisville, United States

Data Analytics in Python Training : Scipy, Numpy, Pandas, Matplotlib ( 4 Hours Live Online)-Louisville


Data Analytics in Python Training : Scipy, Numpy, Pandas, Matplotlib ( 4 Hours Live Online)-Louisville

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**

Where: Virtual

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.

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



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


Bar Charts

Scatter Plots

Candlestick Graphs

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

Concatenating data

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 -

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