How to be a Data Analyst in 2022 ???!

 How to be a Data Analytics in 2022 ???!

1-What is Data Analytics?

2-Data Analytics: Process Flow

3-Data analytics life cycle:

4-Types of Data Analytics:

5-Type of Data:

6-Terminologies in Data Analytics:

7-Where can I learn Data Analytics

What is Data Analytics???

Data Analytics is the process by which we analyze data, draw conclusions, and make decisions. 
Data analytics focuses on processing and performing, statistical analytics on existing datasets. Analytics apply different tools and methods to capture, process, organize and perform data analysis to data in the databases of companies.

Data Analytics: Process Flow:

1. Define goals
2. Identify measurable metrics
3. List, collect and extract data from sources
4. Explore and Analyse data
5. Interpret and visualize data
6. Infer data for decision-making

Data analytics life cycle:

1. Discovery
2. Data Preparation
3. Model Planning
4. Model Building
5. Communicate Results
6. Operationalize

Types of Data Analytics:

1. Descriptive Analytics: What happened? :;
2. Diagnostic Analytics: Why did this happen? 
3. Predictive Analytics: What will happen?
4. Prescriptive Analytics: How can we make it happen?

Type of Data:

• Structured Data.

• Semi-structured Data.

• Unstructured Data : 

Terminologies in Data Analytics:

• Observation.

• Data Samping.

• Dataset.

• Prediction

Top 7 Data Analysis Tools:

1-SQL programing language.
2-R.
3-Excel.
4-Tableau.
5-Talend.
6-SAS Business Intelligent
7-Looker

Where can I learn Data Analytics:

Today there are many platforms where you can begin to learn Data  Analytics but 3 best platforms where you can be a learn Data Analytics :

1-Youtube.

2-Coursera

3-Simplilearn.