Best Data Analytics Course to Become a Data Analyst in 2024 | Data Analyst Full Course | Intellipaat

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In this comprehensive Data Analytics Course designed to make you job-ready, 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. 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 different types of data analysis, data analytics lifecycle, what EDA is, etc. We will briefly cover NumPy and Pandas for data analytics using the Python programming language. We also discover inferential statistics to help you build basic intuition for data analysis. Finally, we also cover some of the most commonly asked data analyst interview questions and their answers. 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 Training' session:
00:00:00 - Introduction to Data Analytics Course
00:02:37 - What is Data Analysis?
00:15:39 - Types of Data Analysis
00:24:25 - Data Analytics Lifecycle
00:42:52 - Data Analytics Introductory Hands-On
00:52:37 - What Skills Make a Data Analyst?
01:12:37 - What Is Exploratory Data Analysis?
01:42:37 - Getting Started with NumPy Library
02:10:00 - Numpy Array Mathematics
02:39:49 - Advantages of NumPy Over List
03:41:20 - What Is Inferential Statistics?
03:47:21 - Confidence Interval
04:29:44 - T-Test
05:50:25 - P-Value
07:39:39 - Difference between T-Test & Z-Test
07:40:47 - Z-Test
08:42:40 - F-Test
09:39:56 - ANOVA
10:04:47 - 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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