OrSkl

OrSkl Learning is a continuous process, make it a habit with us and keep your career growth trend upwards.

Orskl aims to develop multidisciplinary professionals and support for career enrichment and transition to targeted high-demand professions

Our training programs in Oracle Database Administration, Web Application development, Mobile Application Development, SAP ABAP, SAP BASIS have helped individuals to pursue their dreams of becoming highly skilled IT Professionals. Our ability to think from an e

mployers’ perspective makes us a reliable education partner for individuals and corporates. Our trainers are consultants to various customers and always involve in projects adopting latest technologies. This is the primary reason for our training programs to be rich in concepts both in theory and practice.

21/10/2020

Data/Business Analysts Openings - Hyderabad

Do you have minimum of 4 years experience and good with:
- SQL Programming
- Python Programming
- Basic Stats & Analysis
????
We are hiring big time, please WhatsApp on +919951696808 for further details.

Now learning   is not tough, made it easy and importantly     for you to learn if you are beginner.  Find the demo here ...
19/05/2020

Now learning is not tough, made it easy and importantly for you to learn if you are beginner. Find the demo here - https://youtu.be/ApQmedGfxHQ and Simply for the at - https://forms.gle/yuhFSUcjj3Dg9urQ7. Want to checkout detailed course , just a click away - https://www.orskl.com/data-analytics-training/python-for-beginners/ . Happy Learning ! For and training WhatsApp on +919951696808

Topics covered in this session: What is Python Why Python? Use Cases Areas of Application Career Opportunities To get full & FREE access to the course regist...

Track 5 |       |   Data |   and   - Here it goes -
14/02/2020

Track 5 | | Data | and - Here it goes -

Learn to code in Python to pull Streaming tweets from Twitter. Following are the steps that you see in the track in detail. # Create twitter account, if you ...

Here you with   on how to code in   to   and       -
04/02/2020

Here you with on how to code in to and -

In this short track, learn how to extract and transform real time data for every 30 seconds using REST API calls and save it to flat file. Clone the code fro...

Track 3 |       |   &   data through Kaggle API -
21/01/2020

Track 3 | | & data through Kaggle API -

Realtime use case to extract, transform (Regular expressions, CSV), join data from Kaggle through the python API interface. Topics covered in this track are:...

Here comes   on    . A very comprehensive introduction track. All set for the use-cases tracks coming up next -
17/01/2020

Here comes on . A very comprehensive introduction track. All set for the use-cases tracks coming up next -

Continuation of Track 1 intro, we cover important pieces of introduction as described below. # Functions: UDF, Lambda # Comprehensions: List, Dict # Classes ...

    track is now live.   more to come.
13/01/2020

track is now live. more to come.

Introductory session to Python. This track is a very quick and straight session, get used to the terminologies. It covers the following topics. Skip this tra...

  YouTube channel is now kicked off with the first track - https://youtu.be/IXzW_5xc4zkSubscribe to the channel and keep...
10/01/2020

YouTube channel is now kicked off with the first track - https://youtu.be/IXzW_5xc4zk
Subscribe to the channel and keep updated with latest and continuous uploads :)

Learn Python with real time use cases in each session except introductory tracks. This playlist is for Automation, Data Engineers, Data Scientists & Web deve...

04/01/2020

It's been long time. is coming up with free full courses for and for any . Keep counting, it will be a full length video sessions

Most commonly used methods in   to identify if data is     for     engineers.Article - https://goo.gl/KgYtPBYouTube - ht...
01/03/2019

Most commonly used methods in to identify if data is for engineers.

Article - https://goo.gl/KgYtPB

YouTube - https://youtu.be/XVInt9d1rDc

Using Python we are going to learn 4 different ways to identify if data is normally distributed

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