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Data Science & Analytical Bootcamp
Dive deep into data and analytics for career-ready skills.
Data Science & Analytical Bootcamp
Master New Skills and Transform the Future
- Duration: 31 weeks / 175 hours Live Sessions
- Cost : 30,000
Course Offered
Embark on a transformative journey into data science and analytics with our intensive bootcamp. Gain expertise in cutting-edge techniques, advance your career prospects, and unleash your potential in the world of data-driven insights.
- Live interactive sessions
- Accessible on mobile and PC
- Comprehensive course notes
- Certificate of Completion
Who Should Take This Course?
- Individuals with foundational knowledge in data science looking to deepen their skills.
- Intermediate analysts aiming to enhance their proficiency in data visualization and predictive modeling.
- Professionals in IT, finance, or marketing seeking to leverage data-driven insights in their roles.
- Aspiring data scientists and researchers keen on mastering advanced analytical techniques.
What You’ll Master:
- Advanced data analysis techniques using Python, R, and SQL.
- Effective data visualization and storytelling with Tableau and Power BI.
- Machine learning algorithms for predictive analytics and pattern recognition.
- Strategies for optimizing data workflows and enhancing decision-making processes.
Course Outcomes:
- Master advanced data analysis techniques using Python, R, and SQL.
- Optimize data visualization to communicate insights effectively.
- Apply machine learning algorithms for predictive modeling and pattern recognition.
- Develop strategies to streamline data workflows and improve decision-making processes.
Course Description
Elevate your proficiency in data science and analytics with our advanced course tailored for intermediate learners. Dive deep into sophisticated techniques and cutting-edge tools to harness the power of data for informed decision-making and strategic insights.
Complete Course Content:
Foundations of Data Science
- Introduction to Data Science and Analytics
- Data Exploration and Visualization Techniques
- Basics of Statistical Analysis
Programming for Data Science
- Introduction to Python for Data Analysis
- Data Manipulation and Cleaning with Pandas
- Introduction to R Programming
Advanced Data Analysis
- Machine Learning Fundamentals
- Supervised and Unsupervised Learning Algorithms
- Model Evaluation and Selection
Data Visualization and Communication
- Principles of Data Visualization
- Tools and Techniques: Tableau, Power BI
- Storytelling with Data
Big Data and SQL
- Introduction to SQL for Data Retrieval and Analysis
- Handling Large Datasets: Big Data Concepts
- Data Warehousing and Business Intelligence
Advanced Topics in Data Science
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Time Series Analysis and Forecasting
Contact us //
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Elevate your career prospects with essential practical skills and industry exposure – we’ve got you covered
