What is Data Analytics ?
In the data-driven economy of today, organizations and businesses rely on data analysis to make important strategic decisions.
Data analysis is therefore essential to every company's existence and growth.
With the help of data analysis, organizations may make deliberate, educated decisions. The interest in data analysis is also increasing in India.
Right now, there is a big demand for skilled data analysts.
Why Data Analytics ?
The demand for data analysts increased significantly over the years. As businesses in a variety of industries increasingly value data-driven decision-making, there has been a steady rise in the demand for data analysts.
Sectors like finance, healthcare, e-commerce, technology, and more were in need of data analysts.
There are many job advertisements for data analyst roles, and there is a rising demand for experts who can gather, clean, analyze, and interpret data to offer useful insights.
It's crucial to remember that the need for data analysts grew even further, driven by factors such as the rising volume of data created, the adoption of advanced analytics tools, and the need to acquire a competitive edge through data-driven tactics.
Data Analyst Vs Data Scientist
Data Analyst
A data analyst is a specialist who collects, arranges and evaluates large volumes of data to find important patterns, trends, and insights. They are largely concerned with converting unprocessed data into information that can be used by organizations to make choices.
Data Scientist
Data scientist is analytical professionals who extract insights, create predictive models, and resolve challenging business challenges using cutting-edge algorithms, statistical models, and programming abilities. They combine technical with statistical understanding and industry-specific insights.
Data Analyst Roles
Business Intelligence Analyst
Data Engineer
Business Analyst
Financial Analyst
Quantitative Analyst
Data Governance Analyst
Data Visualization Engineer
Marketing Analytics Manager
Scope of Data Analytics
Data analysts can work in large companies, such as consultancies or financial services firms, or consumer retail firms, small and medium-sized businesses such as marketing agencies or the public sector.
- Higher education institutions
- Retail companies
- Professional services firms
- Insurance companies
- Marketing firms
- Pharmaceutical companies
- Telecommunications companies
- Information technology firms
- Consultancy firms such as PwC, FDM, KPMG, Accenture
- Government, including Civil Service, MI5, GCHQ
- the media.
Qualification
A first degree is often, but not always, required. A degree in a relevant discipline may help, such as:
- Business information systems
- Computer science
- Economics
- Information management
- Mathematics
- Statistics.
- You can become a data analyst with any degree subject if you can demonstrate the relevant skills.
About the course
We are a bootcamp company that provides upskilling programs for students and working professionals. We offer customizable pricing options and corporate training solutions to meet your specific needs.
At Infividhya, we are dedicated to providing the best possible education and training to help you succeed in your career. Our expert instructors are passionate about their fields and are committed to helping you achieve your goals.
24*7 Support through WhatsApp,email, Calls.
200+ Hrs of Learning & traning.
Hands on sessions by industry mentors.
400+ hrs of assignments &capstone projects.
Program Outcome
A solid understanding of fundamental data science concepts, techniques, and methodologies.
Enhance programming skills and teach how to leverage programming tools and libraries to handle data and build models.
Gain practical skills in data handling, cleaning, preprocessing, and analysis.
Ability to work on real-world datasets, define problem statements, develop and implement data-driven solutions, and evaluate the performance of their models.
Ability to think critically, analyze data effectively, and make data-driven decisions.
Effectively communicate their findings and insights to non-technical stakeholders .
Hands-on experience with real-world projects.
TOOLS
Capstone Projects
Key Features
Live-online Masterclasses by Google, Amazon, Oracle and SAP experts
Personalized Dashboard
25+ years experienced instructors in the field of Data Analyst
4 Month Offline Program
Top-notch curriculum with integrated labs
Capstone Projects and free industry internship
