Total Lessons
15 Lessons
Program Duration
5 Weeks Only
Learning Format
Data Science using Python
Course Overview
Sale!
Offline Course
Online Course
Data Science using Python
₹999.00 – ₹9,999.00
The Data Science with Python course helps to introduce data manipulation and cleaning techniques using the popular python panda’s data science library and introduce the abstraction of the Series and Data Frame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively.
By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analysis.
Offline Course
(Self-Paced)
- 35 hrs of self-learning
- 4-months of LMS Access
- 35 hrs of self-driven exercises/quiz
Online Course
(Trainer Driven Virtual Sessions)
- Live sessions of 35 hrs
- 35 hrs of guided exercises/quiz
- Guided Project and Viva presentation
- 4-months of LMS Access
Diwali Offer: Get 70% Off on Self Paced Course of Data Science using Python till 12th Nov. with Coupon Code: #lagozondiwali
Description
Gain new insights into your data. Learn to apply data science methods and techniques and acquire analysis skills.
Additional information
| Classes | Self-Paced Course, Trainer Driven Course |
|---|
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Key Highlights
Trainer Driven Courses
- Access to Question Bank/Exams
- LMS Access for 4 months post enrolment
- Access to Lagozon Technology Team
- Training/Internship Certificates
- Live sessions from Data Engineers/ data scientists and leads from Lagozon Technologies daily
- Access to last 2 days of recorded live session videos for viewing purposes
- Guidance for job readiness and Post Internship Support
- Guidance for technical certifications
- Option for hiring top 3 students as Data Analyst
Self-Paced Courses
- Access to Question Bank/Exams
- LMS Access for 4 months post enrolment
- Course completion certificate
Course Curriculum
- Introduction to Data Science
- Python Basic Constructs
- Maths for DS-Statistics & Probability
- Numpy for Mathematical Computing
- Scipy for Scientific Computing
- Data Manipulation
- Data visualization with Matplotlib
- Machine Learning with Python
- Supervised learning
- Unsupervised Learning
- Data Science Concepts
- Python Integration with Spark
- Dimensionality Reduction
- Time Series Forecasting
- Industry Relevant Project
Skills Covered
Machine Learning
Data Manipulation
Time Series Forecasting
Dimensionality Reduction
Python functionality used for data science
Distributions, sampling, and t-tests
Query Data Frame structures
Who can apply?
- Anyone who is passionate to learn and enhance skills in data analytics
- IT/ Non-IT Professionals
- College Graduates
- BI Professionals
- Project Managers
- MBA and BBA Students from all specializations
- BCA/MCA
Technology Partners and Alliances
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