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Data Analytics Complete Video Course by Adda247

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370Videos

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Get Access To The Top Expert Faculties Of India For Best Preparation
Expert Faculties
Get Access To Carefully Curated High-quality Content For Best Clarity
High-quality Video Material
Learn Anytime, Anywhere, And At Your Own Pace With Adda's Videos
Self Paced Learning
Learn Across Devices, Compatible With Mobile, Tabs, And Desktops
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Access to Carefully Curated Lectures by Top Faculty
High Quality Videos with Quality change & Playback Speed facility
Doubt Solving on App, Telegram Groups & In Person at offline Centers
⁠Seminar & Topper Talks at Offline Centers
In-Person Counseling, Physical Support Helpdesk at Offline Centers

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Tech Skills

This Course Includes

370 Videos

Overview
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Overview

Adda and PrepInsta’s Data Analytics Course: Learn the Basics of Data Analytics.
Understand the core concepts of Data Analytics to analyze data, uncover insights, and make smarter decisions. Explore how data helps solve real-world problems.

Become a Data Analytics Expert:
Learn how to collect, organize, and interpret data effectively. Gain hands-on experience with data visualization tools, predictive analytics, and statistical techniques.

Key Focus Areas:
Work with tools like SQL, MySql, and Python.
Learn data analysis techniques and visualization.
Apply analytics for decision-making, forecasting, and solving problems.

Collaboration with Adda & PrepInsta:
This course is part of the PrepInsta Prime series and is offered with Adda 247 to provide high-quality training and resources.

For Everyone:
Whether you’re a beginner or an experienced professional, this course is designed to help you grow your skills and excel in the field of Data Analytics.

This Package Includes

Introduction to Data Analytics:
Learn what Data Analytics is, why it’s important, and how it helps in decision making by analyzing data.
Tools to Know Before Diving In:
Understand the basics of SQL, and statistics to organize, analyze, and visualize data effectively.
Key Analytics Techniques:
Descriptive Statistics: Summarize and explore data using measures like mean, median, and standard deviation.
Probability & Statistical Inference: Learn to make predictions and decisions using probability distributions and hypothesis testing.
Applied Statistical Tests: Conduct advanced statistical analyses to validate findings.
Advanced Tools and Techniques:
Data Visualization: Master tools like Power BI and Tableau for creating impactful visual dashboards.
Working with Data in Tableau: Learn to clean, organize, and analyze data effectively using Tableau.
Advanced Visualization & Calculations: Create complex charts and use Tableau’s advanced features to draw deeper insights.
Python for Data Analytics:
Perform exploratory data analysis (EDA) using Python to uncover patterns, trends, and relationships in data.
Projects:
Work on real world projects to apply your skills, such as creating dashboards, analyzing datasets, and deriving actionable insights.