1 / 3

ExcelR's Data Science Course in Mumbai

ExcelR offers Data Science Course in Mumbai

elsy1
Download Presentation

ExcelR's Data Science Course in Mumbai

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Overview ExcelR's Data Science course in Mumbai is an extensive training program designed to provide participants with in-depth knowledge and hands-on experience in data science. The course covers a wide range of topics, including statistical analysis, machine learning, data visualization, and big data technologies. It is suitable for beginners and professionals looking to enhance their data science skills. Course Objectives The primary objectives of ExcelR's Data Science course include: - Understanding the fundamentals of data science and its applications. - Learning statistical analysis and data visualization techniques. - Gaining proficiency in programming languages such as R, Python, and SQL. - Mastering machine learning algorithms and their implementation. - Developing skills in big data technologies like Hadoop and Spark. - Preparing for data science certification exams. Curriculum The course curriculum is comprehensive and structured to cover all essential aspects of data science: 1. Introduction to Data Science - Definition and importance of data science. - Overview of the data science lifecycle. - Roles and responsibilities of a data scientist. 2. Statistics and Probability - Descriptive and inferential statistics. - Probability distributions and their applications. - Hypothesis testing and confidence intervals. 3. Data Visualization - Importance of data visualization. - Tools and techniques for data visualization. - Creating effective visualizations using Tableau and Matplotlib. 4. Programming for Data Science - Introduction to R and Python programming. - Data manipulation and analysis using pandas and dplyr. - Writing efficient code for data science projects. 5. Machine Learning - Supervised and unsupervised learning algorithms. - Regression, classification, clustering, and association.

  2. - Implementing machine learning models using scikit-learn and TensorFlow. 6. Big Data Technologies - Introduction to big data and its challenges. - Hadoop ecosystem and its components. - Data processing using Spark and PySpark. 7. Data Engineering - Data collection, cleaning, and preprocessing. - ETL (Extract, Transform, Load) processes. - Working with databases and data warehouses. 8. Capstone Project - Applying knowledge to real-world projects. - End-to-end implementation of a data science project. - Presentation and evaluation of the project. Tools and Techniques Participants will gain hands-on experience with a variety of tools and techniques commonly used in data science, including: - R and Python: For data manipulation, analysis, and machine learning. - SQL: For database querying and management. - Tableau: For creating interactive dashboards and visualizations. - Hadoop and Spark: For big data processing and analysis. - TensorFlow and scikit-learn: For implementing machine learning models. Practical Experience The course emphasizes practical learning through: - Case Studies: Real-world scenarios to apply theoretical knowledge. - Industry Projects: Hands-on projects that provide practical experience in data science. - Workshops: Interactive sessions to enhance learning through collaboration and discussion. Certification Upon successful completion of the course, participants will receive a certification from ExcelR, which is recognized globally. Additionally, the course prepares participants for various data science certification exams, including: - Certified Data Scientist (CDS) - Microsoft Certified: Azure Data Scientist Associate - AWS Certified Machine Learning – Specialty Benefits of the Course

  3. - Comprehensive Curriculum: Covers all essential aspects of data science. - Expert Trainers: Learn from industry experts with extensive experience in data science. - Practical Learning: Emphasis on hands-on experience through case studies and projects. - Certification: Gain a globally recognized certification from ExcelR. - Career Support: Assistance with resume building, interview preparation, and job placement. Who Should Enroll? - Aspiring Data Scientists: Individuals looking to start a career in data science. - Working Professionals: Those seeking to enhance their skills and advance their careers. - IT Professionals: Individuals looking to transition into a data science role. - Business Analysts: Professionals wanting to leverage data science for better decision-making. Conclusion ExcelR's Data Science course in Mumbai is a comprehensive program designed to equip participants with the skills and knowledge needed to excel in the field of data science. With a focus on practical learning and hands-on experience, this course prepares participants for a successful career as a data scientist. Whether you are just starting out or looking to enhance your existing skills, this course offers valuable insights and training to help you achieve your career goals. Business Name: ExcelR- Data Science, Data Analytics, Business Analyst Course Training Mumbai Address: Unit no. 302, 03rd Floor, Ashok Premises, Old Nagardas Rd, Nicolas Wadi Rd, Mogra Village, Gundavali Gaothan, Andheri E, Mumbai, Maharashtra 400069, Phone: 09108238354, Email: enquiry@excelr.com.

More Related