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This Video on Data Analytics Full Course by simplilearn will help you learn everythin you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating PowerBI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.
0:00:00 Introduction to Data Analyst Full Course
0:01:24 What is Data Analytics
0:09:42 Data Analyst Roadmap
0:13:23 Steps Involved in Data Analytics
0:15:27 Data Science Vs Data Analyst
0:25:50 Data Science Vs Data Analyst
0:26:58 What is DBMS
0:37:41 What is DBMS
0:38:30 Top BI Terms every data analyst know
0:44:25 Top BI Terms every data analyst know
0:58:22 Create PowerBI Dashboard in minutes
1:43:37 Who is a Data Analyst till R or Python
3:22:54 Data Analysis with Python
3:39:15 Data Transformation
7:04:13 Data Manipulation In R
7:19:50 Chatgpt and Excel with Data Analytics
7:20:00 Data Analytics using AI
7:42:23 Data Analytics using AI
7:45:40 SQL Introduction
7:55:36 Normalization in SQL
8:07:31 SQL CTE
8:56:37 Data Analytics INterview Questions
✅ What is Data Analytics?
Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.
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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
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