Data Analytics

Learn & Earn with Skillify Training Program

About

Data analytics is the process of examining data sets to conclude about the information they contain. It involves various techniques, tools, and methods to identify trends, patterns, and correlations within the data. Data analytics is widely used in various industries, including business, healthcare, finance, and marketing, to make informed decisions, drive business growth, and improve operations.

Meet The Trainer(s)

Our Tuttor is (M Phil in English Linguistics)

1. Descriptive analytics: Analyzing historical data to understand what happened.

2. Diagnostic analytics: Analyzing data to identify why something happened.

3. Predictive analytics: Using statistical models and machine learning algorithms to forecast what may happen.

4. Prescriptive analytics: Providing recommendations on what actions to take based on the analysis.
Data analytics tools and techniques include:

1. Data visualization

2. Statistical modeling

3. Machine learning

4. Data mining

5. Big data analytics
Data analytics has many benefits, including:
1. Improved decision-making

2. Increased efficiency

3. Enhanced customer experience

4. Competitive advantage

5. Cost savings
However, data analytics also presents some challenges, such as:
1. Data quality and accuracy

2. Data security and privacy

3. Complexity and scalability

4. Talent and skills gap

5. Communication and interpretation of results.

What you will learn

After completing this course, trainees will be able to:-

Share with Friends

Facebook
Twitter
LinkedIn

Register Now

Contact Us

Register Now

Contact Us