Learn The Skills For Your Next Step
How To Become a Data Scientist
- 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
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Certifications Courses
Data Science Certification
(25136 ratings)
★★★★★ 5/5
Artificial Intelligence
(22136 ratings)
★★★★★ 5/5
Data Analytics
(23136 ratings)
★★★★★ 5/5
The goal of data science is to uncover patterns, trends, and insights that can help businesses make better decisions.
The field of data science has become increasingly important in recent years, as businesses and organisations have access to more data than ever before. With the growth of the internet, social media, and the Internet of Things (IoT), vast amounts of data are being generated every day. This data can be used to gain insights into customer behaviour, market trends, and operational efficiency, among other things.
Data science involves working with large datasets, often consisting of unstructured data. Data cleaning is an important part of the process, as it involves removing errors and inconsistencies from the data. Once the data has been cleaned, data scientists can use statistical and machine learning algorithms to identify patterns and make predictions based on the data.
Data visualisation is an important tool for data scientists, as it allows them to communicate their findings effectively. Visualisations can take the form of charts, graphs, and other visual representations of the data.Learn more
Data Science Training
Data science involves using statistical and computational methods to extract insights from data. To become a data scientist, you need strong skills in mathematics, programming, and data analysis. Learn programming languages such as Python, familiarize with databases and data manipulation techniques, and understand statistics and machine learning algorithms. Participate in online communities, work on real-world projects, and practice. Data cleaning, exploratory data analysis, and machine learning are essential steps. Supervised learning is used when you have labeled data, while unsupervised learning is used when you have unlabeled data. Deep learning is a subset of machine learning that involves building neural networks.
What Will You Learn?
In data science, you will learn how to extract insights and knowledge from data using statistical, computational, and machine learning techniques. Specifically, you can expect to learn:
- Programming languages such as Python or R
- Data manipulation and analysis techniques
- Data cleaning and preprocessing
- Exploratory data analysis (EDA)
- Statistical methods for hypothesis testing and prediction
- Machine learning algorithms for supervised and unsupervised learning
- Deep learning techniques, including neural networks
- Data visualization and communication of insights
- Big data technologies such as Hadoop and Spark
- Ethical considerations in data science, such as data privacy and bias.
Overall, data science is a multidisciplinary field that requires a combination of technical skills, critical thinking, and communication skills to be able to effectively extract insights and knowledge from data.
Data Science & AI Job Profiles
- Data Engineer
- Data Analyst Engineer
- Business Analyst
- AI Engineer
- Data Science Consultant
- Data Mining & Engineer
- Data Architect
- Data & Analytics Manager
- Full Stack Data Scientist
- Data base Administrator
- Statistician
- ML Engineer
What Our Learners Have To Say About Us
Nice institute!! Great experience in learning. Joined for Data science and ML course. Basically I am from a mechanical background and i was afraid of coding. But trainers guided me to learn quickly and in an easy way. I had attended interview preparation sessions and a project presentation sessions without miss. And also Mindmap which is most needed. Everyday i referred atleast 3 times in a day that made me still more confident in the subject. I recommend this institute in Bangalore to join for data related courses.
Balasubramanyam Siddnipalli
