Course Design By
Nasscom & Wipro
Open to Everyone: No specific background needed.
Basic Understanding: Some knowledge of statistics, math, and programming is helpful.
Familiarity with Tools: Experience with Excel, SQL, Python, or R is a plus but not required.
Interest in Learning: A strong desire to learn about data and analytics is important.
Beginners: Anyone new to data analysis.
Career Changers: People looking to switch to a career in data analysis.
Current Data Professionals: Data analysts, data scientists, and business analysts wanting to improve their skills.
IT Professionals: IT experts looking to add data analysis to their skillset.
Business Managers: Managers who want to use data analytics for better decision-making.
Students and Graduates: Recent graduates or students wanting to gain practical data analysis skills.
Comprehensive Knowledge: Understand the basics and advanced concepts of data analysis.
Hands-On Experience: Work on real-world projects to apply what you learn.
Tool Mastery: Get proficient with tools like Excel, SQL, Python, and R.
Statistical Analysis: Learn how to perform statistical analysis to find trends and patterns in data.
Data Visualization: Learn to create visual representations of data to communicate findings effectively.
Predictive Modeling: Understand how to use data to predict future trends.
Problem-Solving: Use data to identify and solve business problems.
Communication Skills: Improve your ability to present data findings clearly to stakeholders.
Entry-Level Data Analysts: Around Rs 4,00,000 to Rs 6,00,000 annually.
Mid-Level Data Analysts: Rs 7,00,000 to Rs 12,00,000 annually with a few years of experience.
Senior Data Analysts: Rs 13,00,000 to Rs 20,00,000 annually for experienced professionals.
Global Opportunities: Higher salaries in global markets like the US or UK, often exceeding $70,000 to $100,000 per year.
Diverse Roles: Move into roles like data scientist, business analyst, or data engineer.
High Demand: Industries like IT, finance, healthcare, and retail need data analysts.
Professional Development: Further certifications and training can lead to higher positions.
Leadership Roles: Experienced data analysts can advance to management positions.
Entrepreneurial Opportunities: Some data analysts start their own consulting businesses.
Industry Demand: Businesses need skilled data analysts to make informed decisions.
Career Opportunities: Many job openings in various industries like IT, finance, healthcare, and retail.
Technological Advancements: New tools and technologies make data analysis easier.
Global Recognition: Certifications from Mumbai are recognized worldwide.
Professional Community: Access to a network of professionals and experts in the field.
Collecting Data: Gathering data from various sources.
Cleaning Data: Ensuring data is accurate and consistent.
Analysing Data: Using statistical methods to find trends and patterns.
Visualizing Data: Creating charts and graphs to present findings.
Reporting: Preparing reports and presentations for stakeholders.
Using Tools: Working with tools like Excel, SQL, Python, and R.
Collaborating: Working with different teams to meet their data needs.
Solving Problems: Using data to address business issues.
IT: Analyzing large volumes of data to improve decision-making.
Finance and Banking: Optimizing processes, managing risks, and ensuring compliance.
Healthcare: Improving patient care and managing healthcare data.
Retail and E-commerce: Enhancing customer experience and optimizing inventory.
Consulting: Providing data-driven solutions to clients.
In-Depth Knowledge: Gain a strong understanding of data analysis principles.
Practical Experience: Work on real-world projects.
Career Advancement: Essential for securing data analyst roles and advancing your career.
Attractive Salaries: Access to high-paying job opportunities.
Updated Skills: Stay current with industry trends and best practices.
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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14-Jun-2025*
09-Jun-2025*
11-Jun-2025*
14-Jun-2025*
09-Jun-2025*
11-Jun-2025*
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You will get certificate after
completion of program
You will get certificate after
completion of program
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we train you to get hired.
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The course typically lasts for 3 to 6 months, depending on the level of depth and the schedule (part-time or full-time).
Yes, we offer job placement assistance, including resume building, interview preparation, and connecting with industry recruiters.
The course is available both online and in-person, providing flexibility to learners based on their preferences.
Yes, the course includes assessments and certification exams to validate your knowledge and skills.
Graduates can pursue careers as data analysts, business analysts, data scientists, or data engineers in various industries.
Our course stands out due to its comprehensive curriculum, experienced instructors, hands-on projects, and strong industry connections.
You will work on real-world projects involving data cleaning, analysis, visualization, and predictive modeling using industry-standard tools.
Yes, we provide opportunities to network with industry experts through workshops, guest lectures, and networking events.
You will receive continuous support from instructors and mentors, including regular feedback on your progress and assistance with any challenges you encounter.
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