Data analytics is the process of examining large datasets to uncover patterns, trends, correlations, and other insights that can be used to make informed business decisions.
For more info visit: https://datamites.com/data-analytics-certification-course-training-chennai/
2. What will be the job opportunities in
data analytics?
Data Analyst: Data analysts are responsible for collecting, processing, and
analyzing data to provide insights that can help businesses make strategic
decisions. They often work with large datasets using tools like SQL, Python, R,
and data visualization tools.
Data Scientist: Data scientists are experts in analyzing complex datasets using
advanced statistical and machine learning techniques. They develop predictive
models, perform data mining, and extract insights from data to solve business
problems.
Business Analyst: Business analysts use data analysis to identify business trends,
opportunities, and challenges. They work closely with stakeholders to understand
business requirements and translate them into data-driven solutions.
Data Engineer: Data engineers design and build data pipelines to collect, process,
and store data from various sources. They ensure data quality, reliability, and
scalability to support analytics and business intelligence initiatives.
3. What are the basic skills required to
learn Data Analytics?
Statistical Knowledge: Understanding statistical concepts is essential for data analysis. This
includes knowledge of probability, hypothesis testing, regression analysis, and descriptive
statistics.
Programming Languages: Proficiency in programming languages commonly used in data
analytics such as Python, R, or SQL is crucial. Python and R are particularly popular for data
manipulation, analysis, and visualization, while SQL is essential for querying databases.
Data Manipulation and Cleaning: Being able to clean and preprocess data is a fundamental aspect
of data analysis. Skills in data manipulation libraries such as pandas (Python) or dplyr (R) are
necessary for tasks like filtering, transforming, and summarizing data.
Data Visualization: Communicating insights effectively through data visualization is key. You
should be familiar with data visualization libraries like Matplotlib, Seaborn (Python), ggplot2
(R), or Tableau for creating charts, graphs, and interactive dashboards.
4. Upcoming Batches in Chennai
• Training Dates:
8th April 2024 ( Online – Weekday)
22nd April 2024 (Classroom – Weekday)
29th April 2024 ( Online – Weekday)
27th April 2024 ( Classroom – Weekend)
Course Details
• 6 Months Course
• Project work
• IABAC Certification
• Internship Project
5. How much is the data analyst's
salary worldwide?
• United States: In the United States, the average salary for a data analyst ranges from $50,000
to $120,000 per year, with variations based on location (e.g., higher salaries in tech hubs like
San Francisco or New York), experience, and company size.
• United Kingdom: Data analyst salaries in the United Kingdom typically range from £25,000 to
£60,000 per year. Again, salaries can vary based on factors like location (e.g., London tends to
offer higher salaries), experience, and industry.
• Canada: In Canada, data analysts can expect to earn an average salary ranging from CAD
$45,000 to CAD $90,000 per year, with variations based on location (e.g., higher salaries in
cities like Toronto or Vancouver), experience, and industry.
• Australia: Data analyst salaries in Australia range from AU$50,000 to AU$110,000 per year
on average. Salaries may vary based on location (e.g., Sydney or Melbourne), experience, and
industry.
• India: In India, data analyst salaries typically range from INR 3,00,000 to INR 10,00,000 per
year, with variations based on factors such as location (e.g., higher salaries in cities like
Bangalore or Mumbai), experience, and company size.
6. Datamites™
THANK YOU
If you are looking for a Data Analytics course in Chennai,
please visit
https://datamites.com/data-analytics-certification-course-
training-chennai/