A Data Scientist is a highly skilled professional who specializes in analyzing large and complex datasets to extract valuable insights and make data-driven decisions. They play a crucial role in various industries, including technology, healthcare, finance, and more, helping organizations harness the power of data to solve problems and drive innovation.

This Data Science course is designed to equip individuals with the skills and knowledge needed to excel in the field of data science. It covers a wide range of topics, including data analysis, machine learning, data visualization, and more. Whether you're new to data science or looking to advance your career, this course provides a solid foundation and practical experience.


USD 38,500 /-
USD 44,000 /-

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Course Highlights

Hands-on Learning: Engage in practical, real-world projects to apply data science concepts.

Expert Instructors: Learn from industry experts with extensive experience in data science.

Comprehensive Curriculum: Cover essential topics such as statistics, machine learning, and data visualization.

Flexible Learning: Choose between online or in-person classes to suit your schedule.

Certification: Upon completion, receive a recognized certification that validates your data science skills.

Job Placement Support: Access career services for job placement and guidance.

Networking Opportunities: Connect with a community of data science enthusiasts and professionals.

Latest Tools: Work with cutting-edge data science tools and technologies.

Practical Projects: Gain hands-on experience through real-world data analysis projects.

Lifetime Access: Enjoy lifetime access to course materials and updates.


After you complete the Data Scientist course with Skillfloor, you will receive a Certified Data Scientist certification. This certification is designed to validate your expertise in the field of data science and analytics.

The Certified Data Scientist program offered by Skillfloor covers a wide range of essential topics, including statistical analysis, machine learning, data visualization, and data-driven decision-making. It equips individuals with the skills and knowledge necessary to work with large datasets, extract meaningful insights, and apply data science techniques to real-world problems.



Top 10 Reasons For Choosing this Course

High Demand: Data Scientists are in high demand across industries due to the growing importance of data-driven decision-making.

Lucrative Salaries: The role offers competitive salaries and numerous career advancement opportunities.

Varied Applications: Data Science can be applied in diverse fields, from healthcare to e-commerce.

Problem Solving: Data Scientists tackle complex problems and derive solutions from data.

Innovation Driver: They drive innovation by identifying new opportunities and optimizing processes.

Interdisciplinary: It combines skills in mathematics, programming, and domain expertise.

Global Opportunities: Data Science skills are sought after worldwide.

Continuous Learning: The field evolves rapidly, allowing for continuous skill enhancement.

Impactful: Data Science contributes to better decision-making, leading to improved business outcomes.

Future-Proof: Data Science is likely to remain a critical field in the future, ensuring job security.

Course Curriculum

  •  Overview of data science and its application in various industries
     Understanding the data science process
     Introduction to statistical concepts and hypothesis testing

  •  Data cleaning and feature engineering techniques
     Data visualization for exploratory analysis
     Exploratory data analysis and summary statistics

  •  Understanding various machine learning algorithms
     Feature selection and dimensionality reduction techniques
     Model training, validation, and evaluation
     BiasVariance tradeoff and overfitting

  •  Deep Learning and Neural Networks
     Ensemble methods and boosting algorithms
     Hyperparameter tuning and model optimization

  •  Introduction to Big Data
     Distributed Computing with Hadoop and Spark
     Cloud Computing and AWS Services

  •  Text data preprocessing and cleaning techniques
     Feature extraction methods for text data
     Understanding and implementing NLP models

  •  Data storytelling and communication
     Dashboard creation with Tableau or Power BI
     Presentation skills and effective visualization techniques

  •  Understanding ethical considerations in data science
     Privacy regulations like GDPR, HIPAA, etc
     Bias and fairness in machine learning algorithms

  •  Working on a real-world data science project
     Demonstration of endtoend data science workflow
     Presentation and communication skills

What People Say


Skillfloor training programs provided me with a competitive edge and opened doors for career advancement


Skillfloor helped me enhance my communication skills and boosted my confidence in the workplac


The training program at Skillfloor provided practical insights that I could immediately apply to my job


I highly recommend Skillfloor for their comprehensive leadership development program


Skillfloor trainers are top-notch professionals who made the learning experience engaging and enjoyable


The online training platform offered by Skillfloor was user-friendly and convenient