A computer with either Windows, Mac or Linux to install all the free software and tools needed to build your new apps
What will you get from this course:
- Online Data Analytics Training
- Practical Coding and Implementation
- Make Yourself Job Ready
- Certificate and Placement Support
- Hands-on Training in Live Projects
- Build Highly Reliable and Functional Applications
- You will get to learn an object-oriented programming language
- This courses will help you create standards of enterprise computing
Course Content
Selecting rows/Observations
Rounding Number
Selecting Columns/fields
Merging data
Data aggregation
Data munging techniques
What is Python?
Why Python?
Installing Python
Python IDEs
Jupyter Notebook Overview
Python Basic Data types
Lists
Slicing
IF statements
Loops
Dictionaries
Tuples
Functions
Array
Selection by position & Labels
Pandas
Numpy
Sci-kit Learn
Mat-plot library
Reading CSV files
Saving in Python data
Loading Python data objects
Writing data to CSV file
Selecting rows/observations
Rounding Number
Selecting columns/fields
Merging data
Data aggregation
Data munging techniques
Central Tendency
Mean
Median
Mode
Skewness
Requirement :
Basic Computer Knowledge like javascript,python language
Nothing else! It’s just you, your computer and your hunger to get started today.
Frequently Asked Questions ?
Supervised learning is like having a teacher guide you through
homework, providing labeled examples for the algorithm to learn from.
Unsupervised learning is more like exploring on your own, finding
patterns without explicit guidance.
Data preprocessing is like preparing ingredients before
cooking. If you start with fresh, well-cut vegetables, your dish (model)
has a better chance of turning out delicious (performing well).
The bias-variance tradeoff is like walking a tightrope. Too
much bias, and you fall on one side (oversimplification), too much
variance, and you fall on the other (overfitting). Finding the right
balance is like maintaining equilibrium on the tightrope of model
performance.
Deploying a model is like releasing a new product. You need to
consider not only its accuracy (quality) but also factors like
scalability (handling demand), interpretability (user understanding),
and adaptability (keeping up with changing trends), making it a
multidimensional challenge.
Feature engineering is akin to creating a compelling storyline.
Just as a well-crafted narrative captivates the audience, carefully
designed features can bring out the hidden patterns in data, making the
model's performance more engaging and impactful
About Course :
Data analytics is the process of analyzing raw data in order to draw out meaningful, actionable insights, which are then used to inform and drive smart business decisions.
Data analysts rely on skills like programming in R or Python, querying databases with SQL, and performing statistical analysis We are best institute for data analytics in pune as well as nagpur Data analytics course in pune and nagpur on live projects.
This programme is entirely hands-on and placement-oriented.This course is designed to satisfy the needs of people who wish to work as professional Data Analyst. This will also aid learners in passing the Data Science Certification exam.
.jpg){kind=avatar}
