READY FOR A CAREER IN
DATA SCIENCE?
- 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
Certifications Courses
Data Science Certification
(19565 Ratings)
5/5
Data Analytics Certification Course
(19665 Ratings)
5/5
Data Engineering Certification Course
(19875 Ratings)
5/5
If you are a business owner and have some data scientists as an employee, you can build a long-term relationship with those data scientists. Hire them for a longer duration and offer them a handsome salary. Good salaries often attract data scientists. Thus expert data scientists are millionaires. Not only long term contract is necessary but also supply of tools plays an important role in this regard. Learn more
Important Facts
Become A Data Scientist in the Next 6 Months
650+
Hours of Learning
12567
Happy Students
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International Certifications
Data Science Certification in Manikonda
Data science certification programs are designed to provide individuals with the skills and knowledge necessary to work in the field of data science. These programs typically cover a wide range of topics, including statistical analysis, machine learning, data mining, data visualization, and programming languages such as Python and R.
What will You Learn?
In a data science certification program, you can expect to learn a broad range of skills and concepts that are essential for working in the field of data science. Some of the key topics that you may cover in a typical data science certification program include:
Statistics and Probability: This includes foundational concepts such as probability distributions, hypothesis testing, and regression analysis.
Data Exploration and Visualization: This involves learning how to use tools like Python and R to explore and visualize data in order to gain insights and identify patterns.
Machine Learning: You will learn about a variety of machine learning algorithms and techniques, including supervised and unsupervised learning, decision trees, random forests, and neural networks.
Data Mining: This involves learning how to use statistical and machine learning techniques to discover patterns and insights in large datasets.
Data Wrangling and Preprocessing: This includes learning how to clean, transform, and preprocess data in order to make it suitable for analysis.
Big Data Technologies: You may learn how to work with big data technologies like Hadoop, Spark, and NoSQL databases.
Communication and Presentation: You will learn how to effectively communicate your findings and insights to others through visualizations, reports, and presentations.
Overall, a data science certification program is designed to provide you with a comprehensive understanding of the tools, techniques, and concepts that are essential for working in the field of data science.
Data Science Course objectives:
The objectives of data science can vary depending on the specific project, organization, or industry, but in general, the primary goals of data science are:
Extract insights from data: The primary objective of data science is to extract meaningful insights from data, whether it’s structured or unstructured. Data scientists use a variety of techniques, including statistical analysis, machine learning, and data mining, to discover patterns, trends, and relationships within data.
Solve complex problems: Data science can be used to solve a wide range of complex problems, from predicting customer behavior to optimizing business operations. By analyzing data, data scientists can uncover opportunities for improvement and develop solutions that drive business value.
Improve decision-making: Data science can help organizations make better decisions by providing them with the information they need to make informed choices. By analyzing data and extracting insights, data scientists can help organizations identify opportunities for growth, reduce risk, and make strategic decisions.
Develop predictive models: Data science can be used to develop predictive models that can help organizations anticipate future trends and events. By analyzing historical data and identifying patterns, data scientists can develop models that can be used to forecast future outcomes and inform decision-making.
Drive innovation: Data science is a rapidly evolving field that is constantly pushing the boundaries of what is possible. By leveraging new technologies and techniques, data scientists can help organizations develop innovative solutions and stay ahead of the competition.
Overall, the objectives of data science are to help organizations leverage data to make better decisions, solve complex problems, and drive business value.
What Our Learners Have to Say About Us
This institute is one of the best training providers in Data Analysis, Data science and Machine Learning in Hyderabad. I had a career gap of around 3years and low confidence to start again. Trainers here are more supportive and guide us according to our situation. Trainers are skilled and supportive. Clear road map for students success and mind maps for each course which i use to refer every single day. Apart from these they also provide interview preparation sessions, Projects presentation sessions etc. Thank you
Pavan Bindela
Wonderful experience!!!! All the staff member from initially to the end of the course and I must say after the course are so helpful and all time ready to assist. Online Classes, Proper assessment of every activity on timely manner, Webinars, every Thursday value added sessions, everyday interview sessions for practice, proper updates on each and every activity taken by the institute, Quizzes for encouragement. From sales person to mentor & from mentor to sales person everyone is actively available to assist the student, live projects, resume building & so on. I would like to thank all the teaching & non-teaching for such a great experience.
reddy krishna
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