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Data Analyst | Business Intelligence: Python,BI,Tableau,SQL

Learn Data Analytics and Business Intelligence Skill using : Python | Power BI | Power Query | Tableau | SQL
4.8
4.8/5
(11 reviews)
1,062 students
Created by

9.5

Classbaze Grade®

9.9

Freshness

8.7

Popularity

9.3

Material

Learn Data Analytics  and Business Intelligence Skill using : Python | Power BI | Power Query | Tableau | SQL
Platform: Udemy
Video: 9h 39m
Language: English
Next start: On Demand

Best Data Analysis classes:

Classbaze Rating

Classbaze Grade®

9.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.9 / 10
This course was last updated on 3/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.7 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.3 / 10
Video Score: 9.0 / 10
The course includes 9h 39m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
26 resources.
0 exercise.
0 test.

In this page

About the course

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.  A data analyst gathers, cleans, and studies data sets to help solve problems. Here’s how you can start on a path to become one.
Data analytics is the process of examining data sets to extract information that may be hidden from the casual user and draw conclusions about the impact of that information. Data analytics can range from the simplest of business intelligence, to online analytical processing, all the way up to very advanced analytics.
A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They can work in many industries, including business, finance, criminal justice, science, medicine, and government.
Data analysis is the process of gleaning insights from data to help inform better business decisions. The process of analysing data typically moves through five iterative phases:

•Identify the data you want to analyse
•Collect the data
•Clean the data in preparation for analysis
•Analyse the data
•Interpret the results of the analysis

Data analysis can take different forms, depending on the question you’re trying to answer. Briefly, descriptive analysis tells us what happened, diagnostic analysis tells us why it happened, predictive analytics forms projections about the future, and prescriptive analysis creates actionable advice on what actions to take.

Business intelligence (BI) combines business analytics, data mining, data visualisation, data tools and infrastructure, and best practices to help organisations to make more data-driven decisions. In practice, you know you’ve got modern business intelligence when you have a comprehensive view of your organisation’s data and use that data to drive change, eliminate inefficiencies and quickly adapt to market or supply changes.  Business intelligence comprises the strategies and technologies used by enterprises for the data analysis and management of business information.

What can you learn from this course?

✓ Connect to multiple data sources
✓ Clean and transform Data
✓ Model Data
✓ Transform less structured data
✓ Create data relationships
✓ Create queries with Power query
✓ Merge queries with Power query
✓ Create reports
✓ Create visualizations
✓ Create dashboards

What you need to start the course?

• Basic knowledge of SQL advised
• Basic knowledge of Python advised
• Basic knowledge of Excel advised.

Who is this course is made for?

• Beginner Data Analyst
• Beginner Data Scientist
• Beginner Data Engineer

Are there coupons or discounts for Data Analyst | Business Intelligence: Python,BI,Tableau,SQL ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

Will I be refunded if I'm not satisfied with the Data Analyst | Business Intelligence: Python,BI,Tableau,SQL course?

YES, Data Analyst | Business Intelligence: Python,BI,Tableau,SQL has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Data Analyst | Business Intelligence: Python,BI,Tableau,SQL course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Tech Academy?

Tech Academy has created 8 courses that got 225 reviews which are generally positive. Tech Academy has taught 11,545 students and received a 3.8 average review out of 225 reviews. Depending on the information available, we think that Tech Academy is an instructor that you can trust.
Real Skills For The Real World

9.5

Classbaze Grade®

9.9

Freshness

8.7

Popularity

9.3

Material

Platform: Udemy
Video: 9h 39m
Language: English
Next start: On Demand

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