Wishlist Share
Share Course
Page Link
Share On Social Media
Categories: Marketing

About Course

If you're looking to break into the field of data science, Hyderabad is a great place to start. With a booming tech industry and a growing demand for data professionals, there are plenty of opportunities to learn and grow in this field. But with so many training programs to choose from, how do you know which one is right for you? In this guide, we'll provide all the details you need to find the best data science training in Hyderabad, including course content, fees, and more.

Introduction to Data Science.

Data science is a rapidly growing field that combines statistics, programming, and domain expertise to extract insights and knowledge from data. It involves using various techniques and tools to analyze and interpret large datasets, with the goal of making informed decisions and predictions. Data scientists are in high demand across industries, from finance and healthcare to marketing and technology. In this guide, we'll explore the basics of data science and help you find the best training program in Hyderabad to kickstart your career in this exciting field.

Course Curriculum and Duration.

The course curriculum for data science training in Hyderabad typically covers a range of topics, including statistics, machine learning, data visualization, programming languages like Python and R, and database management. The duration of the course can vary depending on the program, with some offering intensive bootcamps that last a few weeks, while others may be more comprehensive and last several months. It's important to research different programs and their curriculum to find the one that best fits your career goals and learning style

Faculty and Teaching Methodology.

When choosing a data science training program in Hyderabad, it's important to consider the faculty and teaching methodology. Look for programs that have experienced instructors with a strong background in data science and related fields. Additionally, consider the teaching methodology - do they offer hands-on projects and real-world case studies? Is there a focus on collaborative learning and group projects? These factors can greatly impact your learning experience and prepare you for a successful career in data science.

Fees and Payment Options.

The fees for data science training programs in Hyderabad can vary depending on the institution and the course duration. On average, a comprehensive data science training program can cost anywhere from INR 50,000 to INR 1,50,000. Some institutions may offer payment plans or financing options to help make the cost more manageable. It's important to research and compare different programs to find the best fit for your budget and career goals.

Job Placement Assistance and Career Opportunities.

When choosing a data science training program, it's important to consider the job placement assistance and career opportunities offered by the institution. Many programs have partnerships with companies in the industry and offer job placement assistance to their graduates. Additionally, some programs may offer career counseling and networking opportunities to help students find the right job after completing the program. Be sure to research the program's track record for job placement and career success before making a decision.

Show More

What Will You Learn?

  • Introduction to Data Science
  • Data Exploration and Visualization
  • Data Cleaning and Preprocessing
  • Statistical Analysis and Hypothesis Testing
  • Machine Learning Algorithms and Models
  • Predictive Analytics and Regression
  • Data Mining and Clustering Techniques
  • Big Data Analytics and Apache Hadoop

Course Content


  • Data handling and Visualization.
  • Information Security and Privacy.
  • Statistical Foundations of Data Science.
  • Optimization for Data Science.
  • Mathematical Foundations of Data Science.
  • Introduction to Data structures and Algorithms.
  • Matrix Computations for Data Science.
  • Computing for Data Science.


Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

Generative Adversarial Networks

Updating a Model



Machine Learning

Chat GPT

Artificial Intelligence

Deep Learning

Natural Language Processing

Data Analysis

R (Programming Language)


Data Visualization

Neural networks

Tensor Flow

Apache Spark


Big Data

Computer vision