Data Analytics in Python Training : Scipy, Numpy,
  • Public
  • Organized by beCloudReady (20+ events)
  • Saturday 16 March, 01:00 PM


This is weekend online Training and will be held on 16th March 2019 and 17 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: 16 March 2019 -  17 March 2019
Instructor: Shailendra Pathak
Schedule:
16th March - 1 PM - 3 PM ( EST )
17th March - 1 PM - 3 PM ( EST )
Content: 
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. 
https://www.becloudready.com/forum/questions
 
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


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.

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 training@becloudready.com for any questions. Group discounts are available. Corporate training is also available. 
See our course catalog at - https://www.becloudready.com/training

Informations

Saturday 16 March, 01:00 PM

till Sunday 17 March 03:00 PM

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Essen Essen DE

beCloudReady

  • Event's organizer

Your Digital Transformation Partner beCloudReady is a Toronto based Technology company specialized in Products and Services in BigData and Cloud technologies. We help organizations to migrate from Legacy application to modern Cloud Native platforms using modern DevOps practices and Data management practices such as Big data.

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