Anaconda for Data Science!
June 12, 2021

Anaconda for Data Science!

Anomita Chandra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Anaconda

Anaconda is being used by the Business Intelligence and Data Science department at my organization. It is used widely for analysis, forecasting and answering questions. For example, the commercial department wanted to know which of their three products was most affected by COVID-19. So using Anaconda Jupyter Notebook and data from surveys conducted with customers we could come to a conclusion. It was easy to represent the findings in visual forms.

Pros

  • It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
  • Easy installation of Anaconda even without much technical knowledge.
  • Easy to navigate through files in Jupyter and also to install new libraries.
  • R Studio in Anaconda is easy to use for complex machine learning algorithms.

Cons

  • It can have a cloud interface to store the work.
  • Compatible for large size files.
  • I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
  • Easy Access to Jupyter, RStudio and Spyder.
  • Permit to work on multiple projects and files simultaneously.
  • Ease of automating many processes which helped the non technical people.
  • Positive impact - Multiple options for data presenting , visualizing and sharing. (Eg: R-Markdown).
  • Positive impact - Ease of access to build complex machine learning models. (I work in NLP, it has multiple built in models to analyze the various contexts).
  • Positive impact - Conda package let's to deal with external packages which can be used in Jupyter.
Anaconda has features which overpowers it over the other analytical tools I have used. Also it provides multiple ways to reach to the solution, depending on the developers expertise. When I was a beginner at using Anaconda, since it is open source and the community using Anaconda is massive it was easy to find solutions and help to my errors.

Do you think Anaconda delivers good value for the price?

Yes

Are you happy with Anaconda's feature set?

Yes

Did Anaconda live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Anaconda go as expected?

Yes

Would you buy Anaconda again?

Yes

Being a Data Science and Analyst professional Anaconda is the go to place for all the softwares.
Easy to access Jupyter, RStudio and gives direct access to your files in your PC. It is compatible to install as many libraries required for the work you do. I have worked with large live data for a project on RStudio and it let me easily connect to it, though the system crashed sometimes when I tried to execute the entire code but it always created a recovered file of the changes I made. So that was one of the features I really liked.

Anaconda Feature Ratings

8.8
Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
10
MDM Integration
5
10.0
Visualization
10
Interactive Data Analysis
10
10.0
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Data Encryption
10
Built-in Processors
10
10.0
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
10.0
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10

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