Data Science with Python
Jumpstart your career as a data scientist with this popular and action-packed course – Data Science with Python. Python is an open-source, high-level language and a valuable skill needed for a career in data science. This course aims to enable you with a thorough knowledge and concepts of python and provides a great approach object-oriented programming.
Content Provider
iNURTURE
Course Level
Intermediate
Mode Of Delivery
Self-Paced
Duration
40 hrs
Certification By
iNURTURE
Course Validity
Valid for 6 months post activation
Learning Resources
Videos Easy, Accessibility
Description
Python is a high-level object-oriented programming language. This programming language consists of a wide range of applications from web development, scientific and mathematical computing. The syntax of this language is clean and has a short length of code. This programming language makes you think about the problem rather than focusing on the syntax. Python is used in creating many highly trafficked websites such as YouTube.
This Course
In this course you will get familiar with the basic concepts of python, statistics, regression etc. Further, you will learn about the advantage of Python offering programmers the advantage of using fewer lines of code to accomplish the tasks.
Learning Outcomes
- Understand the core programming concepts of Python Programming Language
- Know the Looping and condition statements in Python Programming Language
- List the different options in Data Management in Python Programming Language
- Appreciate the importance of data transformation and its need in Python Programming Language
- Know elementary to advanced statistical methods in Python Programming environment
Curriculum
Module 1
- Basic concepts in python
- Calculations in python
- Variable assignment
- Function
- Conditions
- Data structures - List, Dictionaries, Numpy array, Slicing, Splicing, Subsetting, Functions, Conditions, Loops, Keys, Values, Datatypes.
Module 2
- Statistics / Plotting - Seaborn vs Matplotlib
- Univariate analysis - Import from csv
- Plot histograms
- Distribution
- Mean
- Data with same mean but different standard deviation
- Data with same mean and standard deviation but different kurtosis,
- Bootstrapping and subsetting - making samples, Mean of sample, Central limit theorem, Plotting, Hypothesis testing
- Bivariate analysis- correlation, Scatter plots, Stratified samples, Categorical , Class variable
Module 3
- Series – Datatypes
- Index
- Data frame - series to data frame
- Reindex
- Grouping
- Pandas shortcuts
- Reading from different sources
- Missing data treatment
- Merge
- Join
- Writing to file
- Database operations.
Module 4
- Regression- Data Aggregation, Filtering, Lamda functions, Map, Filter, Visualization, Matplotlib, Pyplot, Scatterplot, Histogram, Heatmaps
- Regression – Linear, Lasso, Ridge, Variable selection, Forward & Backward regression, Polynomial regression
Module 5
- Logistics regression
- Naïve Bayes
Module 6
- Unsupervised learning
- Distance concepts
- Classification
- k-nearest
- Clustering
- k-means
- Multidimensional scaling.
Module 7
- Decision Trees
- Random Forest
- Boosted Trees
- Gradient Boosting
Key Features
- 7 well-structured Learning Modules
- 12 Videos
- Certification of Completion
Career Opportunities
After completing this course, you can seek career opportunities as:
- Software Engineer
- Data Science Analyst
- Python Developer
- Spark Programming
- Application Engineer
- Data Science
Certification
After completing this course and successfully passing the certification examination, the student will be awarded the “Data Science with Python” certification.
If a learner chooses not to take up the examination, they will still get a 'Participation Certificate'.
Who Should Attend
- Engineering and IT students
- Graduates with a programming background
Frequently Asked Questions
Where can I find courses on the Platform?
Can I search courses domain wise on the platform?
Is online classes available for all the courses on KRACKiN?
Are the course certificates valid?
Can I access your courses on Mobile device?
Can my course access be extended?
How to get my certificate after completing the course?
Content & Certification Partners
