Embrace learning and growth to propel your career forward

DATA SCIENCE CERTIFICATION COURSE

  • Get Trained by Trainers from IIT, ISB & IIM
  • 184+ Hours of Live Classroom or Online Sessions
  • 3 Capstone Live Projects
  • Free Life-Time eLearning Access
  • Dedicated Program Coordinator
  • Re-attend Module with No Extra Cost
  • 100% Free Internship
  • 100% Job Placement Assurance
Learn More
Please enable JavaScript in your browser to complete this form.
Name

Our Partners​

objectives

  1. Data Visualization: Creating effective data visualizations is crucial for conveying insights to both technical and non-technical stakeholders.

  2. Data-Driven Decision-Making: The ultimate goal of data science is to inform and improve decision-making.

  3. Data Monetization: In the business context, data science objectives may also include finding ways to monetize data assets. 

  4. Continuous Improvement: Data science is an iterative process.

  5. Ethical and Responsible Data Use: It’s important to ensure that data is used ethically and in compliance with regulations. 

  6. Data Security and Privacy: Protecting data and ensuring privacy are essential objectives. 

Attend Free Demo

Certification Courses

Data Science Courses

25245(Rating)

Data Analytics Courses

25245(Rating)

Data Engineering

24267(Rating)

What Will You Learn

A Data Science certification program typically covers a wide range of topics and skills that are essential for individuals looking to work in the field of data science. The specific content and depth of coverage can vary between different certification programs, but here are some common areas of learning that you can expect to find in a Data Science certification:

  1. Statistical Analysis and Mathematics:

    • Probability and statistics: Understand fundamental concepts in statistics, probability, and statistical inference.
    • Linear algebra: Learn the basics of linear algebra, which is essential for understanding machine learning algorithms.

  2. Programming and Tools:

    • Programming languages: Gain proficiency in programming languages commonly used in data science, such as Python or R.
    • Data manipulation libraries: Learn to use libraries like Pandas and NumPy for data manipulation and analysis.
    • Data visualization tools: Explore tools like Matplotlib and Seaborn for creating data visualizations.
    • Database and SQL: Understand how to work with databases and write SQL queries.

  3. Data Cleaning and Preprocessing:

    • Data cleaning: Learn techniques to clean and preprocess raw data for analysis.
    • Data wrangling: Transform and structure data for analysis.

  4. Machine Learning:

    • Supervised learning: Study regression and classification algorithms.
    • Unsupervised learning: Explore clustering and dimensionality reduction techniques.
    • Model evaluation and selection: Learn how to evaluate and choose the best machine learning models for specific tasks.

  5. Deep Learning:

    • Introduction to neural networks.
    • Deep learning frameworks like TensorFlow and PyTorch.
    • Building and training neural networks for various tasks.

  6. Big Data and Distributed Computing:

    • Hadoop and MapReduce: Understand the basics of big data processing.
    • Apache Spark: Learn how to work with distributed data processing.

  7. Data Visualization:

    • Creating effective data visualizations to communicate insights.
    • Tools like Tableau or Power BI for data reporting.

  8. Feature Engineering:

    • Techniques for selecting and creating meaningful features for machine learning models.

Data Science Training Program in Rajajinagar

Data science training in Rajajinagar empowers individuals with the capabilities to excel in data analysis, machine learning, and data visualization. This comprehensive program covers a wide range of subjects, including programming languages, statistical analysis, and ethical data handling. By engaging in hands-on projects and emphasizing proficiency in Python programming, participants acquire the essential knowledge and skills necessary for pursuing a career in data science. Moreover, the training offers the flexibility to specialize in specific domains like natural language processing and computer vision, opening up a diverse array of career prospects. Learn More

Placement Success Stories

Reviews​

Jayasimha reddy

I enrolled for Data analytics certificate course ,the trainers here are experienced with the data analytics tools.Vijay,Jeeva sir they will let us practice the ongoing classes, Very interactive in the classes.

Mahesh garla

Finally I’m in to data analytics. It is an absolute learning experience at 360 DigiTMG. Knowledge sharing is done by mr Vijay. He’s very professional and make people to understand on the concepts. The course is structured and sessions are helpful. I really appreciate, looking forward.

Vishal Kumar Gupta .R Designation

Here apart from the course syllabus, they also teach value sessions for free which are most useful. I joined for a Data science and Machine Learning course. Worked on live projects after completing the course curriculum. These projects helped me in understanding how data related organisations work. This is a kind of realtime experience. All these made me confident to attend interviews. Thank you team.