HITEC City, Hyderabad, India - 500081
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3rd Floor, Raghuma Towers , Andra Basti, Kavuri Hills Phase 1, Kavuri Hills, Madhapur
HITEC City, Hyderabad, India - 500081
Landmark: Metro Pillar # C 1723. Above DCB Bank, Opposite Syndicate Bank
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11 Students Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Data science techniques
Machine learning, Python, R Programming, Artificial Intelligence
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
AWS Certification offered
AWS Certified Solutions Architect, AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified DevOps Engineer
AWS Certification Level offered
Associate, Professional
1 Student Class Location
Online (video chat via skype, google hangout etc)
At the Institute
29 Students Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Course Duration provided
1-3 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Certification provided
Yes
Python applications taught
Text Processing with Python, Regular Expressions with Python , Testing with Python, Data Extraction with Python , Data Science with Python, Data Analysis with Python , Machine Learning with Python, Web Development with Python , Data Visualization with Python, Web Scraping with Python , Scipy Stack with Python , GUI (Graphical User Interfaces) with Python , Automation with Python , Networking with Python
4.6 out of 5 29 reviews
Mariam Ali
Python Programming, DJango, Flask, Analytics
"It was very good session very informative in spite of online session it was very communicative. "
Nikita Thorve
"It would definitely help you to grow your interest in coding. And you would learn interesting things for sure. Happy coding. "
N.sowmya
""I enrolled for data science class in skill sigma.Very good olace to learn Software languages. Environment was good and free to learn". "
Kaushik D Desai
Data Science - Machine Learning & Artificial Intelligence
"The classes were amazing, fun to learn and very interesting. The credit goes to Madam Lakshmi Padmasree who is a very dedicated, patient and supportive teacher. After a break of 20 years she got me to do programming smoothly. She motivated me at every step boosting my self confidence to further explore Big Data Science. I am enjoying the deep learning experience through an expert. Skill Sigma is a one stop to upgrade your knowledge at an effordable price. They have a brilliant supporting team - Mr Koti & Miss Muskaan.I am deeply impressed & grateful to have such dedicated people to always guide me. "
1. Which classes do you teach?
We teach Amazon Web Services, Data Science, Microsoft Azure Training and Python Training Classes
2. Do you provide a demo class?
Yes, We provide a free demo class.
3. Where are you located?
We are located in HITEC City, Hyderabad.
Data Science for Everyone An introductory video lesson on Big Data, the need, necessity, evolution and contributing factors. This is presented by Skill Sigma as part of the "Data Science for Everyone" series.
Answered on 07/08/2019 Learn Functional Training/Data Analytics
Hi.
Scala is a scalable programming and pure OOPS language. It has become popular after Spark was built on the same.
It is one of the most suited languages for Spark programming and is even better than Python.
For learning Scala, you may need to have some pre-requisite knowledge of OOPS (Object-oriented programming).
Answered on 07/08/2019 Learn IT Courses/Java
Java is not a pure object oriented programming language. For a pure OOP language, the objects should be directly accessible for any operations. However in Java we need to necessarily reach objects through methods that are necessary.
Also Java supports primitive datatypes which are not objects.
Answered on 06/05/2019 Learn IT Courses/Tableau
Hello,
Here is the suggested order:
1- SQL
2- Hadoop
3- Python
4- R & Tableau
I have suggested SQL, Hadoop first as they are the primary Data storage layers or platforms. You can work storing and streaming data first.
The second suggestion was Python, as it is a programming language also used for Analytics. IT will give you a distinct advantage as a programmer not just for analytics or data science but for other areas too.
Finally, R & Tableau, as R is a specially built language for Stats, Analytics and related areas. The visualization for R couple with Tableau is ideal.
Answered on 13/04/2019 Learn IT Courses/Java Script Training
Full Stack is a composite skill set that combines the original front end and backend technologies. It also prominently includes the database. You should ideally look at the below:
- Web Development & Front End: HTML, CSS, JS & Jquery to begin with
- Frameworks: Angular or React or both
- Possibly MEAN Stack (MySQL/ Mongo, Express, Angular, Node) Wherein MySQL/ Mongo will get your foot into the databases.
- For the backend and application programming, the best choices would Java/ J2EE or Python or both.
- Complementary skills would be excellent have on Maven or GIT. Some testing with JUnit TestNG would be helpful to have but not compulsory.
Now you are skilled on something or the other from the complete stack.
Answered on 13/04/2019 Learn IT Courses/Java Script Training
Hi,
It is a good question given the newer scripting languages and adoption to multiple frameworks. However, I can confidently tell you it is never late to learn Javascript. Reasons being:
1- It is still among the top 5 languages the world chooses, and it stands with Java, Python, C etc.,
2- Leading and popular frameworks use JS as the backbone (popularly React, Bootstrap)
3- Although Google rapidly promotes typescript for Angular, a whole lot of the other landscape is still JS.
4- No matter how much ever coding one does with Java or Python the web continues to be prominently JS.
Given these, please note that learning JS alone will not help in the future. You may have to put efforts on multiple other complementary technologies.
11 Students Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Data science techniques
Machine learning, Python, R Programming, Artificial Intelligence
Class Location
Online (video chat via skype, google hangout etc)
At the Institute
AWS Certification offered
AWS Certified Solutions Architect, AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified DevOps Engineer
AWS Certification Level offered
Associate, Professional
1 Student Class Location
Online (video chat via skype, google hangout etc)
At the Institute
29 Students Class Location
Online (video chat via skype, google hangout etc)
At the Institute
Course Duration provided
1-3 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Certification provided
Yes
Python applications taught
Text Processing with Python, Regular Expressions with Python , Testing with Python, Data Extraction with Python , Data Science with Python, Data Analysis with Python , Machine Learning with Python, Web Development with Python , Data Visualization with Python, Web Scraping with Python , Scipy Stack with Python , GUI (Graphical User Interfaces) with Python , Automation with Python , Networking with Python
Answered on 07/08/2019 Learn Functional Training/Data Analytics
Hi.
Scala is a scalable programming and pure OOPS language. It has become popular after Spark was built on the same.
It is one of the most suited languages for Spark programming and is even better than Python.
For learning Scala, you may need to have some pre-requisite knowledge of OOPS (Object-oriented programming).
Answered on 07/08/2019 Learn IT Courses/Java
Java is not a pure object oriented programming language. For a pure OOP language, the objects should be directly accessible for any operations. However in Java we need to necessarily reach objects through methods that are necessary.
Also Java supports primitive datatypes which are not objects.
Answered on 06/05/2019 Learn IT Courses/Tableau
Hello,
Here is the suggested order:
1- SQL
2- Hadoop
3- Python
4- R & Tableau
I have suggested SQL, Hadoop first as they are the primary Data storage layers or platforms. You can work storing and streaming data first.
The second suggestion was Python, as it is a programming language also used for Analytics. IT will give you a distinct advantage as a programmer not just for analytics or data science but for other areas too.
Finally, R & Tableau, as R is a specially built language for Stats, Analytics and related areas. The visualization for R couple with Tableau is ideal.
Answered on 13/04/2019 Learn IT Courses/Java Script Training
Full Stack is a composite skill set that combines the original front end and backend technologies. It also prominently includes the database. You should ideally look at the below:
- Web Development & Front End: HTML, CSS, JS & Jquery to begin with
- Frameworks: Angular or React or both
- Possibly MEAN Stack (MySQL/ Mongo, Express, Angular, Node) Wherein MySQL/ Mongo will get your foot into the databases.
- For the backend and application programming, the best choices would Java/ J2EE or Python or both.
- Complementary skills would be excellent have on Maven or GIT. Some testing with JUnit TestNG would be helpful to have but not compulsory.
Now you are skilled on something or the other from the complete stack.
Answered on 13/04/2019 Learn IT Courses/Java Script Training
Hi,
It is a good question given the newer scripting languages and adoption to multiple frameworks. However, I can confidently tell you it is never late to learn Javascript. Reasons being:
1- It is still among the top 5 languages the world chooses, and it stands with Java, Python, C etc.,
2- Leading and popular frameworks use JS as the backbone (popularly React, Bootstrap)
3- Although Google rapidly promotes typescript for Angular, a whole lot of the other landscape is still JS.
4- No matter how much ever coding one does with Java or Python the web continues to be prominently JS.
Given these, please note that learning JS alone will not help in the future. You may have to put efforts on multiple other complementary technologies.
Data Science for Everyone An introductory video lesson on Big Data, the need, necessity, evolution and contributing factors. This is presented by Skill Sigma as part of the "Data Science for Everyone" series.
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