Get an industry grade certificate to become a successful data scientist
6 hour Mentored sessions/ week
2 hour HR Session/ week
2 hour DSA Session/ week
Mock Interviews
100% Self Placeable
Get an industry grade certificate to become a successful data scientist
Performance-based criteria for eligibility.
6 hour Mentored sessions/ week
2 hourt HR sessions/ week
2 hourt DSA sessions/ week
Mock Interviews
100% Self Placeable
Data Wrangling
Exploratory Data Analysis
Machine Learning Algorithms
Big Data Technologies
Model Evaluation and Tuning
Capstone Project
Designing and implementing machine learning models and algorithms to solve complex problems. Focuses on model development, optimization, and deployment.
upto - 9 LPA
upto - 16 LPA
Building and maintaining data pipelines and architectures. Ensures that data is collected, processed, and stored efficiently for analysis.
upto - 8.5 LPA
upto - 14 LPA
Applying mathematical models and statistical techniques to financial data to guide investment and risk management decisions.
upto - 9 LPA
upto - 18 LPA
Analyzing and interpreting complex data to help companies make data-driven decisions. Involves statistical analysis, machine learning, and predictive modeling.
upto - 8 LPA
upto - 15 LPA
Designing and implementing machine learning models and algorithms to solve complex problems. Focuses on model development, optimization, and deployment.
upto - 9 LPA
upto - 16 LPA
Building and maintaining data pipelines and architectures. Ensures that data is collected, processed, and stored efficiently for analysis.
upto - 8.5 LPA
upto - 14 LPA
Applying mathematical models and statistical techniques to financial data to guide investment and risk management decisions.
upto - 9 LPA
upto - 18 LPA
Analyzing and interpreting complex data to help companies make data-driven decisions. Involves statistical analysis, machine learning, and predictive modeling.
upto - 8 LPA
upto - 15 LPA
Designing and implementing machine learning models and algorithms to solve complex problems. Focuses on model development, optimization, and deployment.
upto - 9 LPA
upto - 16 LPA
Building and maintaining data pipelines and architectures. Ensures that data is collected, processed, and stored efficiently for analysis.
upto - 8.5 LPA
upto - 14 LPA
Data Wrangling
Exploratory Data Analysis
Machine Learning Algorithms
Big Data Technologies
Model Evaluation and Tuning
Capstone Project
Designing and implementing machine learning models and algorithms to solve complex problems. Focuses on model development, optimization, and deployment.
upto - 9 LPA
upto - 16 LPA
Building and maintaining data pipelines and architectures. Ensures that data is collected, processed, and stored efficiently for analysis.
upto - 8.5 LPA
upto - 14 LPA
Applying mathematical models and statistical techniques to financial data to guide investment and risk management decisions.
upto - 9 LPA
upto - 18 LPA
Analyzing and interpreting complex data to help companies make data-driven decisions. Involves statistical analysis, machine learning, and predictive modeling.
upto - 8 LPA
upto - 15 LPA
Designing and implementing machine learning models and algorithms to solve complex problems. Focuses on model development, optimization, and deployment.
upto - 9 LPA
upto - 16 LPA
Building and maintaining data pipelines and architectures. Ensures that data is collected, processed, and stored efficiently for analysis.
upto - 8.5 LPA
upto - 14 LPA
Applying mathematical models and statistical techniques to financial data to guide investment and risk management decisions.
upto - 9 LPA
upto - 18 LPA
Analyzing and interpreting complex data to help companies make data-driven decisions. Involves statistical analysis, machine learning, and predictive modeling.
upto - 8 LPA
upto - 15 LPA
Designing and implementing machine learning models and algorithms to solve complex problems. Focuses on model development, optimization, and deployment.
upto - 9 LPA
upto - 16 LPA
Building and maintaining data pipelines and architectures. Ensures that data is collected, processed, and stored efficiently for analysis.
upto - 8.5 LPA
upto - 14 LPA
Use your industry-recognized Data Scientist course
certificate on your resume, CV, LinkedIn profile
or your website.
Complete projects using the practical knowledge you received from our Data Science and AI course.
After completing the Data Science and AI course, we will assist you in creating your resume and support you in finding job opportunities.
We assure top-quality communication between trainees and staff as we provide individual attention to each trainee and
quickly respond to each of their inquiries.
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