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Answered on 21 Mar Learn Data Analysis
Dheeraj Kushwaha
Adobe Certified , Microsoft Certified Trainer with 9 years of experience
Data Science seeks to discover new and unique questions that can drive business innovation. In contrast, Data Analysis aims to find solutions to these questions and determine how they can be implemented within an organization to foster data-driven innovation. Read: Career in data science and its Scope
read lessAnswered on 26/06/2022 Learn Data Analysis
Binoy B V
GIS & Remote SensingExpert
Answered on 26/06/2022 Learn Data Analysis
Binoy B V
GIS & Remote SensingExpert
Learn Data Analysis from the Best Tutors
Lesson Posted on 01/12/2021 Learn Data Analysis
4 Key Things to Learn for Data Science
Kavaiya Yashumar Amrutlal
I can teach each and every topics very easily and make it stronger for the students.
1. Theory:
Use Coursera and EdX for theory, concepts, and applications of probability, statistics, linear algebra, calculus, and machine learning.
2. Data Visualisation:
Tableau and PowerBI are easy-to-use tools with GUI facilities for data visualization and business intelligence. Matplotlib in Python and ggplot in R are good packages for visualization.
3. Programming:
Python and R are great free tools that you can download from the internet. RStudio for R and Anaconda for Python are two good tools to write and test codes. You can use Datacamp for learning and hands-on practice of Python and R. Then practice machine learning algorithms using Python or R.
4. Big Data:
For Big Data, AWS or Azure can be used for storage and Spark can be used for processing. You need to pull the data from the database, process or filter the data and bring it to a usable format. For getting and processing data SQL is a very good tool. You can use the dplyr package in R or pandas in Python for data processing tasks.
Answered on 26/06/2020 Learn Cluster Analysis
Ganesh Koguri
IT Professional Trainer with 10 Years of Experience
Answered on 15/04/2019 Learn Data Analysis
SM Ayetullah
Data Scientist
Dear Learner,
First, we've to understand the tool's capabilities. As you've mentioned Tableau and Power Bi. These are mainly known for data visualisation and not for Data Analytics. And Quick View is not a good option for Data Analytics as there are many compromises and also not in high demand in the market.
I would instead suggest you go for some reliable Analytical tools like SAS, R.
Hope it helps!
Learn Data Analysis from the Best Tutors
Answered on 01/11/2018 Learn Data Analysis
Karthik
Answered on 29/10/2018 Learn Data Analysis
Ankit Singh
Data Analytics(SAS) Trainer since 2013
Answered on 30/05/2018 Learn Data Analysis
TCS iON Training Center - Dadhichi Technologies
Learn Data Analysis from the Best Tutors
Answered on 08/06/2019 Learn Data Analysis
Omkar Deorukhkar
Data Science Expert with experience in advanced machine learning techniques
Skills - Python and libraries (Seaborn, Pandas, Numpy etc), Statistics, SQL, R(better to have), tools like SAS , Tableau, Knowledge of database concepts
How to learn ?
step 1 - Learn Python(plenty tutorials on Youtube)
step 2 - Learn pandas, matplotlib,seaborn,numpy etc. libraries of python
step 3 - Learn concepts of statistics
step 4 - Start practicing on datasets available on internet
step 5 - Go to a trainer for SAS/Tableau
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The best Tutors for Data Analysis Classes are on UrbanPro