Course Design By
Nasscom & Wipro
Core Data Science Concepts: Learn about data exploration, data cleaning, and preprocessing.
Statistical Methods & Machine Learning: Understanding the theory and application of algorithms, such as regression, clustering, and classification.
Big Data Analytics: Use tools like Hadoop and Spark to process large data sets.
Data Visualization: Learn how to present data effectively using tools like Tableau and Power BI.
Programming Languages: Master Python and R for data analysis and machine learning.
Entry-Level Salary: Freshers can expect a salary between 4.5 Lakhs to 6 Lakhs per annum.
Mid-Level Salary: After gaining some experience (2-3 years), salaries can range from 8 Lakhs to 12 Lakhs per annum.
Senior-Level Salary: With 5+ years of experience, professionals can earn 15 Lakhs and above per annum.
Junior Data Scientist: Start by working on smaller projects, cleaning and analyzing data.
Mid-Level Data Scientist: After gaining experience, you will handle more complex projects, build machine learning models, and lead teams.
Senior Data Scientist/Lead Data Scientist: Lead teams, strategize data-related projects, and contribute to high-level decision-making.
Specialized Roles: With additional expertise, you can move into specific areas like Artificial Intelligence (AI), Natural Language Processing (NLP), or Big Data.
Hands-on Training: Students get to work on real-world projects, ensuring they are job-ready.
Industry-Relevant Curriculum: The Data Science Course in Gurgaon is regularly updated to reflect the latest industry trends and tools.
Experienced Instructors: Trainers have practical experience working in the field, providing valuable insights to students.
Proximity to Tech Companies: Gurgaon is home to many multinational tech companies, offering abundant job opportunities for trained data scientists.
Data Scientist: Analyzing large data sets, building machine learning models, and deriving insights to help businesses make informed decisions.
Data Analyst: Focuses on data collection, cleaning, and reporting to support business decisions.
Machine Learning Engineer: Implements algorithms and designs systems that automatically learn from data.
Data Engineer: Builds and optimizes systems for data collection, storage, and processing.
Technology: Tech companies use data science to improve products and services.
Finance: Banks and financial institutions use data science for risk management, fraud detection, and market analysis.
Healthcare: Data scientists help analyze medical data, predict disease trends, and improve patient care.
Retail & E-commerce: Companies in this industry use data science for customer segmentation, sales forecasting, and personalized marketing.
Manufacturing: Data science is used to optimize supply chains, reduce costs, and predict maintenance issues.
Industry Recognition: Certification from a reputable institute adds credibility to your skills.
Job Readiness: The certification assures employers that you have the necessary skills to perform as a data scientist.
Continuous Learning: Certifications often serve as proof that you are committed to staying updated in your field.
Certification Fee: 5,000 to 10,000 (if required).
Global Recognition: These certifications help boost your resume and make you more attractive to employers.
Programming Languages: Python, R, SQL.
Data Manipulation: Pandas, NumPy.
Machine Learning Algorithms: Regression, classification, clustering, decision trees, neural networks.
Big Data: Hadoop, Spark.
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn.
Tools for Data Processing: TensorFlow, Scikit-learn.
Customer Segmentation: Using clustering algorithms to divide customers into different groups based on purchasing behavior.
Stock Market Prediction: Applying machine learning to predict stock prices based on historical data.
Image Classification: Using neural networks for classifying images in various categories.
Sentiment Analysis: Analyzing customer reviews or social media posts to determine public sentiment using NLP.
Comprehensive Curriculum: The course covers everything from basic data analysis to advanced machine learning techniques.
Industry-Standard Tools: Learn and master the tools and techniques used by data scientists in real companies.
Job Opportunities: Gurgaon is a hub for top tech companies, and trained data scientists are in high demand.
Hands-on Experience: Real-time projects provide students with practical skills that can be used immediately in the job market.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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14-Jun-2025*
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11-Jun-2025*
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09-Jun-2025*
11-Jun-2025*
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You will get certificate after
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You will get certificate after
completion of program
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In addition to recorded video courses of lectures, you will get the opportunity to work on actual projects with industry specialists that have more than 10 years of experience at the Data Science Training Institute in Gurgaon.
The well-equipped laboratories and the actual project would substantially help the Data Science Course in Gurgaon. You'll receive more real-world experience as a consequence, and you'll be better equipped to find a great job.
Croma Campus provides Data Science Training in Gurgaon with Certification for you to join in so that you may gain complete skills. The institute's high-quality training will provide you with a diverse set of skills and knowledge.
Because the Data Science Training in Gurgaon is customizable, you may do it on your own schedule. However, it will take 30 hours to complete.
To enroll in the Croma Campus Data Science Training Institute in Gurgaon, go to helpdesk@cromacampus.com. You may reach us by WhatsApp (+91-9818014543) or phone (+91-9711526942).
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