Course Design By
Nasscom & Wipro
Industry-Relevant Curriculum Learn the latest technologies and tools used by top companies.
100% Hands-On Learning Work on real-world datasets and live projects.
Placement Assistance Resume building, mock interviews, and job referrals.
Flexible Learning Options Choose from live online classes or recorded sessions.
Certifications Included Earn globally recognized certificates from top tech companies.
Internship & Networking Gain real-world experience with industry mentors.
Learn Python, R, and SQL to manipulate and analyze data
Master data visualization with Tableau, Power BI, and Matplotlib
Understand machine learning and deep learning using TensorFlow and Scikit-Learn
Work on cloud computing platforms like AWS, Google Cloud, and Azure
Use Big Data tools like Hadoop and Spark for large-scale data processing
Develop predictive models for real-world business applications
Prepare for global certifications in data science and AI
Analyze customer data and identify factors causing customer churn
Build a machine learning model to predict which customers are likely to leave
Develop retention strategies based on data insights
Use regression models to predict property prices
Understand how factors like location, size, and demand affect pricing
Implement feature engineering for better model accuracy
Analyze customer reviews and social media comments.
Use NLP (Natural Language Processing) to classify sentiments (positive, negative, neutral).
Build a dashboard to track brand reputation over time.
Build a fraud detection model using machine learning
Analyze transaction patterns to identify fraudulent activities
Deploy the model using cloud platforms
Develop a recommendation engine like Amazon & Netflix
Use collaborative filtering and deep learning models
Improve customer engagement by providing personalized recommendations
Programming Languages Python, R, SQL for data manipulation and analysis
Data Visualization Tableau, Power BI, Matplotlib for creating insightful visuals
Machine Learning TensorFlow, Scikit-Learn for building predictive models
Cloud Computing AWS, Google Cloud, Azure for scalable data solutions
Big Data Processing Hadoop, Spark for handling large datasets
Data Analyst 40-55 LPA
Machine Learning Engineer 50-75 LPA
Data Scientist 60-85 LPA
AI Engineer 70-90 LPA
Entry-level Data Analyst / Business Analyst
Mid-level Data Scientist / Machine Learning Engineer
Senior-level AI Engineer / Data Architect
Leadership roles Chief Data Officer / AI Strategist
Google Data Analytics Certification
IBM Data Science Professional Certificate
AWS Certified Data Analytics
Microsoft Azure Data Scientist Associate
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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You will get certificate after
completion of program
You will get certificate after
completion of program
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Basic knowledge of mathematics and programming (Python or R) is helpful, but not mandatory.
The course duration can range from a few months (certifications) to 1-2 years (degree programs).
Yes, most courses include practical projects and real-world data sets to work with.
Many programs offer job placement support, internships, and career counseling to help you land a job.
Requirements typically include a bachelor’s degree and a basic understanding of math or programming.
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