Course Design By
Nasscom & Wipro
Understanding Core Concepts: Students will learn the fundamentals of data science, including statistics, machine learning, and data visualization.
Hands-on Experience: The course provides practical training with real-world data sets to ensure students can apply their knowledge in real scenarios.
Proficiency in Tools: Training covers essential data science tools and software such as Python, R, SQL, and Tableau, preparing students for industry demands.
Problem-Solving Skills: Emphasis is placed on developing analytical and problem-solving abilities to tackle complex data challenges effectively.
Industry-Relevant Projects: Students will work on projects that reflect current industry trends, enhancing their readiness for real-world data science roles.
Entry-Level: 4 to 7 lakhs per year for new graduates.
Mid-Level: 7 to 12 lakhs annually for professionals with 2-5 years of experience.
Senior-Level: 12 to 20 lakhs per year for those with more than 5 years of experience.
Specialized Roles: Over 20 lakhs annually for individuals with expertise in advanced areas like AI or industry-specific sectors.
Skill Enhancement: Gain proficiency in essential data science tools and techniques, including machine learning, statistical analysis, and data visualization.
Hands-On Experience: Work on real-world projects and case studies, giving you practical experience that is highly valued by employers.
Industry Recognition: A certification from a reputable institute is well-regarded in the industry, increasing your credibility and employability.
Networking Opportunities: Connect with industry professionals, alumni, and peers, expanding your professional network and opening doors to job opportunities.
Higher Salary Prospects: With advanced skills and certification, you can command higher salaries and better job positions in the competitive job market.
Diverse Job Roles: Opportunities in various sectors such as finance, healthcare, retail, and technology, where data science skills are in high demand.
Career Advancement: Potential for rapid career progression into senior roles like Data Scientist, Data Analyst, Machine Learning Engineer, and Data Science Manager.
Top Institutions: Prestigious institutes with experienced faculty and comprehensive curricula.
Growing Tech Sector: Increasing demand for data scientists in the expanding IT industry.
Affordable Living: Lower cost of living compared to other metro cities.
Job Prospects: Many companies and startups seek skilled data science professionals.
Networking: Numerous tech events, workshops, and conferences for networking opportunities.
Supportive Ecosystem: Strong government and industry support for tech education and innovation.
Data Analysis: Analysing large data sets to extract meaningful insights and trends.
Data Cleaning: Ensuring data quality by cleaning and preprocessing data.
Model Building: Developing and deploying machine learning models to solve business problems.
Data Visualization: Creating visualizations and dashboards to communicate findings effectively.
Statistical Analysis: Applying statistical techniques to interpret data and inform decision-making.
Collaboration: Working with cross-functional teams, including engineers, analysts, and business stakeholders.
Reporting: Presenting analysis results and recommendations to management and clients.
Tool Proficiency: Utilizing data science tools and software such as Python, R, SQL, and Tableau.
Problem-Solving: Identifying and addressing business challenges through data-driven solutions.
Continuous Learning: Staying updated with the latest trends and advancements in data science and machine learning.
IT and Tech: Analysing big data and developing software solutions.
Finance: Risk management, fraud detection, and investment strategies.
Healthcare: Improving patient care and managing healthcare data.
E-commerce: Enhancing customer experience and optimizing supply chains.
Telecommunications: Network optimization and customer analytics.
Retail: Inventory management and sales forecasting.
Manufacturing: Predictive maintenance and quality control.
Energy: Resource management and smart grid development.
Logistics: Route optimization and inventory management.
Media and Entertainment: Analysing viewer preferences and optimizing content delivery.
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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*
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You will get certificate after
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You will get certificate after
completion of program
You will get certificate after
completion of program
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You can expect comprehensive training in data analysis, machine learning, and visualization.
The best data science institute in Kolkata offers top-notch curriculum and experienced faculty.
You will gain skills in data processing, statistical analysis, machine learning, and data visualization.
Yes, the course includes placement assistance to help secure job opportunities after completion.
Choosing the best course ensures quality education, hands-on experience, and better career prospects.
Benefits include expert instruction, practical training, networking opportunities, and industry-recognized certification.
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