Course Design By
Nasscom & Wipro
Home /Data Analytics & BI/ Data Analysis Course in Chennai
Discover how to retrieve data for analysis. Enroll today and gain insights from an experienced data analyst.
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32 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Open to All: No specific prerequisites required.
Basic Knowledge: Helpful to have a basic understanding of statistics, mathematics, and programming.
Tool Familiarity: Experience with Excel, SQL, Python, or R is advantageous but not necessary.
Eagerness to Learn: A strong interest in data and analytics is essential.
Beginners: Those new to data analysis.
Career Changers: Individuals transitioning into data analysis from other fields.
Current Data Professionals: Data analysts, data scientists, and business analysts looking to enhance their skills.
IT Professionals: IT specialists wanting to integrate data analysis into their expertise.
Business Managers: Managers seeking to leverage data analytics for strategic decisions.
Students and Graduates: Recent graduates or students aiming to gain practical data analysis skills.
Comprehensive Knowledge: Develop a thorough understanding of data analysis principles and practices.
Practical Skills: Gain hands-on experience with real-world scenarios and projects to apply data analysis techniques effectively.
Tool Proficiency: Master industry-standard tools and software, such as Excel, SQL, Python, and R.
Statistical Analysis: Learn to perform statistical analysis to identify trends, patterns, and relationships in data.
Data Visualization: Acquire skills to create compelling visualizations that communicate insights effectively.
Predictive Modelling: Understand predictive modelling techniques to forecast future trends and behaviours.
Problem-Solving: Improve problem-solving skills to identify and address business issues using data-driven approaches.
Communication Skills: Enhance your ability to present data findings clearly and persuasively to stakeholders.
Entry-Level Data Analysts: As a beginner, you can expect to earn around Rs 4,00,000 to Rs 6,00,000 annually.
Mid-Level Data Analysts: With a few years of experience, salaries range from Rs 7,00,000 to Rs 12,00,000 annually.
Senior Data Analysts: Experienced professionals can earn between Rs 13,00,000 to Rs 20,00,000 annually.
Global Opportunities: Data analysts in global markets, such as the US or UK, can earn significantly higher salaries, often exceeding $70,000 to $100,000 per year.
Diverse Roles: Data analysts can move into various roles such as data scientists, business analysts, or data engineers.
Industry Demand: The demand for data analysts spans multiple industries, including IT, finance, healthcare, and retail.
Professional Development: Additional certifications and advanced training can lead to higher positions and specialized roles.
Leadership Positions: With experience, data analysts can advance to leadership positions such as Data Analysis Manager or Director of Data Analytics.
Entrepreneurial Opportunities: Many data analysts leverage their skills to start their own consulting firms or analytics businesses.
Industry Demand: The growing importance of data in decision-making processes has led to a high demand for skilled data analysts across various industries.
Career Opportunities: Abundant job opportunities in sectors such as IT, finance, healthcare, and retail make data analytics a lucrative career choice.
Technological Advancements: Advances in data analytics tools and technologies have made it easier to collect, analyze, and interpret large data sets.
Global Recognition: Data analytics certifications obtained in Chennai are recognized globally, enhancing career prospects.
Vibrant Professional Community: Access to a vibrant professional community and networking opportunities with industry experts.
Data Collection: Gathering data from various sources, including databases, spreadsheets, and APIs.
Data Cleaning: Identifying and rectifying errors or inconsistencies in data to ensure accuracy and reliability.
Data Analysis: Performing statistical analysis to identify trends, patterns, and relationships in data.
Data Visualization: Creating visual representations of data, such as charts, graphs, and dashboards, to communicate insights effectively.
Reporting: Preparing detailed reports and presentations to share findings with stakeholders.
Tool Proficiency: Using industry-standard tools and software, such as Excel, SQL, Python, and R, to analyse data.
Collaboration: Working closely with other teams, such as IT, marketing, and finance, to understand their data needs and provide actionable insights.
Problem-Solving: Identifying and addressing business issues using data-driven approaches.
Information Technology: IT companies require data analysts to analyse large volumes of data and improve decision-making processes.
Finance and Banking: Financial institutions rely on data analysts to optimize processes, manage risk, and ensure regulatory compliance.
Healthcare: Data analysts help healthcare organizations improve patient care, optimize operations, and manage healthcare data.
Retail and E-commerce: Retailers and e-commerce companies need data analysts to enhance customer experience, optimize inventory, and drive sales.
Consulting: Data analysts in consulting firms provide expert advice and solutions to clients across different sectors.
Thorough Knowledge: Gain a deep understanding of data analysis principles and practices.
Hands-On Experience: Obtain practical experience through real-world scenarios and projects.
Essential for Career Advancement: The training is crucial for securing data analyst positions and advancing your career.
Attractive Salary Packages: Access to lucrative salary opportunities in a high-demand field.
Updated Knowledge Base: Benefit from a constantly updated knowledge base, keeping you current with industry trends and best practices.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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11-Oct-2025*
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13-Oct-2025*
08-Oct-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
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No specific prerequisites, but basic knowledge of statistics and programming can be helpful.
Yes, practical experience with real-world projects is a key component of the training.
You will learn fundamental and advanced data analysis techniques, data visualization, statistical analysis, and predictive modelling.
Yes, the course is designed for both beginners and experienced professionals looking to enhance their skills.
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