▶️ Intellipaat's Data Analytics Course Online:
https://intellipaat.com/data-analytics-master-training-course/
Welcome to this tutorial on Data Analytics Course! In this video, we will cover basics of Statistics in Excel as well as we'll give a brief description on Data Analytics. Moving Further we'll look into What is Data Manipulation, Introduction to VBA & Macros. We'll also give an introduction to Microsoft Excel, Excel Formulas & Functions. Last but not least we'll cover Data Analyst Job Description and some Interview Question and Answers.
🔵 What is Data Analytics?
Data analytics is the process of examining, cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision-making. There are a variety of techniques and tools that can be used in data analytics, and the specific methods used will depend on the type of data and the question being asked.
One popular approach to data analytics is using statistical methods to understand and describe the characteristics of a data set. This can include things like calculating the mean, median, and standard deviation of a set of numbers, or identifying patterns or trends in data over time.
🔵 Why learn Data Analytics?
There are many reasons to learn data analytics, depending on your specific interests and career goals. Some of the main benefits of learning data analytics include:
✅ Career opportunities: The demand for data analytics professionals is growing rapidly across many industries, and it is expected to continue growing in the future. Learning data analytics can open up a wide range of career opportunities, such as data scientist, business analyst, data engineer, data analyst, and more.
✅ Improving decision making: Being able to analyze data can help organizations make better decisions by providing them with a deeper understanding of their operations, customers, and markets. This can lead to cost savings, improved efficiency, and increased revenue.
✅ Solving real-world problems: Data analytics can be used to tackle a wide range of problems, from identifying fraud to predicting which customers are likely to churn. As you learn data analytics, you will develop the skills to identify and solve problems that matter to you and your organization.
Overall, learning data analytics can be a valuable investment in your career and personal development, regardless of your specific field of interest.
🔵 Intellipaat Training courses:
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Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies.
We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.
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👉Following topics are covered in this video:
00:00:00 - Introduction to Data Analytics
00:15:30 - Introduction to Statistics
00:21:48 - Probability for Data Science
00:39:45 - Probability Distribution
00:41:19 - Introduction to Probability Distribution
01:01:31 - Inferential Statistics, Hypothesis Testing & Other Tests
01:40:24 - Introduction to Data Analytics
01:53:22 - What is the Data Analytics Lifecycle?
02:03:24 - Data Analytics Key Roles
02:05:31 - How do you Work with Data Frames?
04:08:49 - Introduction to Excel
04:39:43 - Excel Formulas and Functions
05:35:08 - Linear Regression
06:48:36 - What is VBA & Macro?
06:50:45 - Exploring Visual Basic Editor
06:52:57 - Using Macro Recorder
07:22:49 - Variable, Data Types and Constants
08:07:21 - Decision Making
09:01:35 - Trends
09:10:40 - Data Analytics:An Industry Look
09:11:24 - Importance of a Certification
09:13:59 - Data Analytics:Job Description, Salary & Learning Path
09:28:45 - Top 10 Skills to Become Data Analyst
09:48:17 - Data Analytics Interview Questions
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