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In this Data Analytics Full Course 2024, you will learn everything you need to know to become an entry-level data analyst, from the basics of data analysis to the most sophisticated problem-solving using inferential statistics, Excel, Power BI, etc. This course is designed for beginners with no prior experience in data analysis.
We will begin this Data Analyst Full Course with an Introduction to Data Analytics, and then we will move on to the discussion about Python for data analytics and critical inferential statistics concepts you must master to tackle advanced data analytics problems. After that, we will cover all the services that Power BI offers. By the end of this course, you will have a clear understanding of the entire data analytics process and will be able to tackle data analytics tasks to get a job as a data analyst.
📖 Following topics are covered in this 'Data Analytics Course' session:
00:00:00 - Introduction to Data Analytics Course
00:03:36 - What is Data Analytics?
00:08:30 - Introduction to Python
00:18:32 - Basics of Python
00:45:29 - Global Variable in Python
02:40:12 - Introduction to Statistics
02:52:11 - Types of Data
02:58:11 - The Central Tendencies
03:03:54 - Implementation in R
03:04:41 - Variability and Spread
03:12:30 - Probability
03:15:21 - Probability Terminologies
03:21:51 - Probability Distribution
03:23:41 - Covariance and Correlation
03:34:21 - Hypothesis Testing
03:38:15 - Decision Error
04:02:46 - Types of Rescaling
04:10:07 - Introduction to SQL
04:27:35 - What is NoSQL?
04:39:10 - What is DBMS and RDBMS?
04:44:03 - SQL Server Fundamentals
05:09:39 - What Are Data Types?
06:25:27 - Data Manipulation Language
07:24:38 - Primary Key and Foreign Key Relationship
08:03:55 - Direct Query Mode
08:51:58 - Data Transformation and Modeling Power BI
09:05:14 - Data Visualization with Power BI Service
09:54:20 - Data Analytics Interview Questions
✅ How to Become a Data Analyst with this Data Analytics Course?
To become a Data Analyst with this Data Analytics course, you'll learn key skills like data manipulation, visualization, and statistical analysis. The course covers real-world projects to help you gain practical experience. You’ll also develop expertise in data interpretation and decision-making, crucial for landing a data analyst role.
✅ Is data analytics a good career?
Data analysts are in great demand across all industries and there is a good career path for those who want to move up the professional ladder. Many top organizations require data analysts to help them make better use of their data or provide the right insights that will help them in their business activities.
➡️ About the Course
This course with iHUB IIT Roorkee helps you master data analytics tools and skills. It covers business domain knowledge, storytelling, optimization techniques, project execution, and data visualization.
✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Roorkee Faculty and Industry Practitioners
👉🏼One-on-one with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option
What’s Covered in This Program?
✅Data wrangling with SQL
✅Introduction to Data Science and Statistics
✅Business Problem Solving, Insights and Storytelling
✅Optimization Techniques
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning
✅Data Science Execution Strategy
✅Business Case Studies
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