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Data Analytics in Python Training : scipy, numpy, pandas, Matplotlib ( 5 Hours Live Online)-Riyadh

Data Analytics in Python Training : scipy, numpy, pandas, Matplotlib ( 5 Hours Live Online)-Riyadh
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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. 

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 and willingness to learn

  • Basic Computer skills needed.

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.

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

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