Rating 4.45 out of 5 (846 ratings in Udemy)
What you'll learn- Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume
- By the end of this course you will understand the inner workings of the data analytics pipeline -joining,manipulating,filtering, extracting data ,Analysing Data
- Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data
- Be able to create in depth analyses with Pie …
Rating 4.45 out of 5 (846 ratings in Udemy)
What you'll learn- Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume
- By the end of this course you will understand the inner workings of the data analytics pipeline -joining,manipulating,filtering, extracting data ,Analysing Data
- Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data
- Be able to create in depth analyses with Pie charts, Bubble charts, Wordcloud and even geographical maps.
- you will expertise in Pandas ,Seaborn, Matplotlib ,Plotly ,Folium, Geopy, Wordcloud and many other..
- Solve any problem in your business, job or in real-time with powerful data analysis libraries
DescriptionThis is the first course that gives hands-on Data Analysis Projects using Python..
Student Testimonials:
Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahato
nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu Q
I love how in 6 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results ! Also all my questions were answered ! Amazin course 110/100 - María Fernanda Villegas CascoU
The course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q&A as well.- Abhishek Gajbhiye
Can you start right now?
A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?"
The clear answer is: "No!
As a Summary, if you primarily want to use Python for Data Science/Data Analysis or as a replacement for Excel, then this course is a perfect match!
Why should you take this Course?
It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.
Professionals who are exposed to data but can't yet leverage its power
Product managers who want to make data-driven decisions
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
