Data Analytics Course | Data Analyst For Beginners | Data Analytics Training | Intellipaat

🔥Enroll for the Data Analytics Course: https://intellipaat.com/data-analytic...

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This Data Analytics Course covers all the important skill sets required to become a Data Analyst!

We will begin this Data Analytics course by getting introduced to an important prerequisite, which is Python Programming Language, then we will look into Statistics, Probability vs. Statistics, as well as SQL. Next, we will discuss the Difference Between NoSQL And SQL, SQL Server Fundamentals, Data Sources in PowerBI, SQL with PowerBI, etc. Finally, we will cover Data Transformation and Modeling with PowerBI as well as Data Visualization with Power BI Service. Finally, we will cover the most commonly asked Data Analytics interview questions.

🔵 Following topics are covered in this Data Analytics Course
00:00:00 - Introduction
00:03:19 - What is Data Analytics?
00:08:12 - Introduction to Python
00:21:17 - Basics of Python
00:53:59 - Global Variable in Python
03:02:22 - Introduction to Statistics
03:14:21 - Types of Data
03:20:16 - The Central Tendencies
03:26:46 - Variability and Spread
03:27:55 - Implementation in R
03:34:46 - Probability
03:37:26 - Probability Terminology
03:45:02 - Probability Distribution
03:46:51 - Covariance and Correlation
03:57:37 - Hypothesis Testing
04:01:30 - Decision Error
04:25:58 - Types of Rescaling
04:32:18 - Introduction to SQL
04:52:23 - What is NoSQL?
05:04:01 - What is DBMS and RDBMS?
05:17:09 - SQL Server Fundamentals
05:46:29 - What Are Data Types?
07:14:45 - Data Manipulation Language (DML)
07:46:16 - Power BI
08:26:30 - Primary Key and Foreign Key Relationship
09:25:35 - Direct Query Mode
10:06:32 - Data Transformation and Modeling Power BI
10:21:01 - Data Visualization with Power BI Service
11:15:43 - Data Analytics Interview Questions

✅What is a data analytics course?
Data analytics is the process of analyzing raw data to draw out meaningful, actionable insights, which are then used to inform and drive smart business decisions.

✅What is the basic qualification for data analytics?
Aspiring students must earn a bachelor's degree, ideally in statistics or information technology, with at least 60% overall or an equivalent grade point average (CGPA). To become a Data Analyst, students must hold a degree in Economics, Statistics, Computer Science, or Mathematics.

➡️ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

➡️Who should take this course?
☑️Non-IT Professionals in HR, banking, marketing, sales, etc.
☑️BI Professionals
☑️Data Analytics Professionals
☑️Project Managers
☑️Software Developers
☑️Information Architects
☑️Freshers and Undergraduates can apply for the course

✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras 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
✅Presto
✅Introduction to Data Science and Statistics
✅Business Problem Solving, Insights and Storytelling
✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

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