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Data Science Courses
- 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
Popular Career Oriented Courses
Data Science Certification
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Data Analytics Certification
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Know About Us
Data analytics involves the utilization of statistical and computational techniques to transform raw data into meaningful insights that inform decision-making processes. This discipline is widely applicable in diverse industries, such as finance, marketing, healthcare, and sports. Its importance has grown substantially in the era of big data, highlighting the need to extract valuable information from vast datasets. Data analytics professionals employ a wide range of tools, including statistical software, machine learning algorithms, and data visualization software, to analyze data and generate actionable insights.
Our dedication is focused on fostering highly proficient individuals who can adeptly tackle complex technological challenges with excellence.
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
Data Science Course Content
- Data Collection and Cleaning
- Statistics and Exploratory Data Analysis (EDA)
- Programming and Tools
- Machine Learning
- Big Data and Distributed Computing
- Data Mining and Pattern Recognition
- Natural Language Processing (NLP)
- Deep Learning
- Data Visualization
- Ethical and Legal Considerations
Data Science Training Program in Hsr layout
Data science training equips individuals with proficiency in data analysis, machine learning, and data visualization. This extensive curriculum encompasses programming languages, statistical analysis, and ethical data management principles. Through immersive projects, with a primary focus on Python programming, participants acquire the essential competencies required for data science roles. Moreover, learners can explore specialized domains like natural language processing and computer vision, unlocking diverse and promising career opportunities.