Data Analytics courses in Bangalore have bucked past the slowdown caused due to the COVID-19 lockdown. In the last 8-10 months, we have seen data analytics becoming the most widely adopted technology across industries. Be it in Ecommerce or B2B software product marketing, healthcare or manufacture, every company is practicing data intelligence to unravel the benefits of digital transformation driven by ‘power of data’.
According to a latest research on how business analytics teams use data and analytics, companies produced 250x times more data this year compared to that produced in 20179-2019. The major reason: companies are working at a calibrated mode when it comes to remote workplace. The employees are virtually blasting past all norms of data production, and therefore, it is important for data teams to get a hang of that kind of actionable insights they can extract from each interaction. This is especially true for Marketing, Sales, Service and HR teams.
Here’s how you can improve your data analytics learning.
What kind of Data Should I be Training With?
Depending on the type of data analytics project you are planning to execute, your data source could also vary. For example, 90% of the AI and Machine Learning projects work with Google data for images and static photos. Reverse Image recognition and image processing techniques labeled by human moderators find their way into a majority of AI ML projects. Image data, therefore, is a popular target.
Another example would be from News data, where you could be using the text analysis and text to speech data to create chatbots and virtual assistants that can read out news to the readers.
Other sources of data could be:
• Customer data
• Lead gen data
• Form and Survey data
• Automobile Ownership data
• Social media app data
• Payments App data
The types of data progressively get tough to hack and work with even as there are strict regulations about using information with customer’s approval only.
Be Ethical and Practical about your Data Analytics project.
Everyone who enrolls with best data analytics courses in Bangalore may become a top analyst, but not everyone can become ethical and truthful. Whether you are using PII or image data, be transparent about how you handle information.
Data Quality is a Costly Management Trick
Nearly two thirds of the AI ML projects fail due to data quality issues. Ensuring data quality at each step is a key action, and it may consume your 50% of the resources. It is not only time consuming but also counter productive if you miss the iterations at any level. In short, you need to cleverly use automated ML tools with a human supervision to ensure you re training with only the best data or the model will split apart.
Accuracy and rate of cleaning are key choices you would have to target whenever starting off and continuing forward in your data analytics project in Bangalore.
