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KIT Training Point offers a comprehensive Data Analysis Training course designed to equip students and professionals with the necessary skills to become proficient in data analysis and harness the power of data for decision-making. With the increasing demand for data-driven insights, this course provides the foundational knowledge and practical expertise required to excel in the field of data analysis. This course covers key areas of data analysis, including data collection, data cleaning, exploratory data analysis (EDA), statistical analysis, data visualization, and reporting. Students will be trained on industry-standard tools such as Microsoft Excel, Python, R, and SQL to manage and analyze data effectively.
Duration : 6 Day
Class Type : Physical, Online
Course Category : Digital Marketing & SEO Finance & Banking
Objectives of Course
The Data Analysis Training at KIT Training Point is designed to provide students with the essential skills and knowledge to become proficient data analysts and leverage data to drive insightful decision-making. The course objectives include:
Why Choose KIT Training Point for This Course?
Here are the key reasons to choose Data Analysis Training at KIT Training Point:
Syllabus Highlights
Data Analysis Training Syllabus (45 Days) – KIT Training Point
Total Duration: 45 Days
Total Hours: 90 Hours (2 Hours per Day)
Module 1: Introduction to Data Analysis (Day 1-5 | 10 Hours)
Module 2: Data Collection and Data Cleaning (Day 6-10 | 10 Hours)
Module 3: Exploratory Data Analysis (EDA) (Day 11-15 | 10 Hours)
Module 4: Statistical Analysis and Hypothesis Testing (Day 16-20 | 10 Hours)
Module 5: Data Visualization (Day 21-25 | 10 Hours)
Module 6: Advanced Data Analysis Techniques (Day 26-30 | 8 Hours)
Module 7: SQL for Data Analysis (Day 31-35 | 8 Hours)
Module 8: Data Analysis with Excel (Day 36-40 | 8 Hours)
Module 9: Machine Learning for Data Analysis (Day 41-45 | 8 Hours)
Final Exam and Project (Day 45)