Data science: Discover, Analyze, Innovate, Transform

DATA SCIENCE CERTIFICATION COURSES

  • Train with trainers from IIT, ISB and IIM
  • Over 184 hours of live classes or online sessions
  • Free lifetime access to e-learning
  • 3 final live projects
  • Dedicated program coordinator
  • 100% free courses
  • Resist module at no extra cost
  • 100% Placement Guarantee

Data Science Training Program

 

Data science training equips individuals with skills in data analysis, machine learning, and data visualization. It encompasses programming languages, statistical analysis, and ethical data practices. Through practical projects and a focus on Python programming, participants gain the expertise required for data science roles. Specializations in areas like natural language processing and computer vision may be pursued, enabling diverse career opportunities.

Data Scientists shape our data-driven world. Register Now!!

Key components of data science training may include:

Data science training typically involves a combination of key components to equip individuals with the necessary knowledge and skills to excel in the field. These components may include:

  1. Mathematics and Statistics: A solid foundation in mathematics (including calculus, linear algebra, and discrete mathematics) and statistics is crucial for understanding the underlying principles of data science.

  2. Programming Skills: Proficiency in programming languages such as Python and R is essential. You’ll need to be able to write code to manipulate and analyze data, build models, and create data visualizations.

  3. Data Manipulation: Training should cover data manipulation libraries and tools like Pandas, NumPy, and data wrangling techniques. Understanding how to clean, transform, and preprocess data is vital.

  4. Machine Learning: A thorough understanding of machine learning algorithms, including supervised and unsupervised learning, as well as deep learning, is fundamental for data science. Training might include frameworks like Scikit-Learn and TensorFlow.

  5. Data Visualization: Learning how to effectively communicate insights through data visualizations using tools like Matplotlib, Seaborn, or Tableau is important.

Important Facts

Become A Data Scientist in the Next 6 Months​

580+

Hours of Learning

10263

Happy Students

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International Certifications