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Learn Data Science with PadhAi's Data Science Training Course and become a certified Data Scientist. Discover the foundations of Data Science, the process behind it, and the various related operations such as Collection, Storing, Processing, Describing, and Modelling. This course is suitable for learners familiar with programming and mathematics. Register now for the Foundations of Data Science course and gain valuable insights on statistics, Python, descriptive statistics, Numpy, Pandas, and visualization.
By understanding this, you've previously made your most memorable strides on the way the turning into a data scientist. The following are a couple of motivations to stick along!
Data Science is quick becoming one of most sought after callings in India and all over the planet.
More than 1.5 Lakh job openings for Data Scientists projected in 2020, expanding by 62% from 2019.
Data is all over, it is a widespread money. Learning how to acquire experiences from data is a priceless ability to have.
Data is the new oil and Data Science is its burning motor! While there are numerous definitions with regards to what data science truly is, we have found it best to portray it as a field spinning around 5 data-related operations.
Collection
Storing
Processing
Describing
Modelling
In the event that you are know about programming (in any language) and OK with math at twelfth standard (secondary school) level, then, at that point, you ought to have the option to track with this course. This course is appropriate for the accompanying learning goals:
Mitesh Khapra and Pratyush Kumar
Mitesh and Pratyush are Associate Teachers at the Branch of Software engineering and Engineering at IIT Madras. They have both industry and scholastic involvement with working with deep learning and related regions. They are both energetic about teaching and adding to country building.
Data Science Course curriculum
1
Guidelines for this course
Hi!
Data Poll
2
Week 1: Introduction
3
Week 2 - Section 1: Engineering Data Science Systems
4
Week 2 - Section 2 : What is Statistics?
5
Week 3: Beginning with Python
6
Blog Challenge - 1
7
Week 4: Descriptive Statistics (Section 1)
8
Week 5: Python (proceeded)
9
Week 6: Descriptive Statistics (Section 2)
10
Week 7: Descriptive Statistics (Section 3)
11
Week 8: Numpy
12
Week 9: Pandas
13
Week 10: Pandas (proceeded)
14
Week 11: Representation
15
Week 12: Representation (Proceeded)
16
Week 13: Approaching Open ended DS problems
17
Week 14: Counting
18
Week 15: Sample spaces and Events
19
Week 16: Random Variables
20
Week 17: Distributions and Sampling Strategies
21
Week 18: Distributions of Sample Statistics
22
Week 19: Central Limit Theorem
23
Week 20: Chi Square Distribution
24
Week 21 : Point and Interval Estimators
25
Week 22: Hypothesis Testing
Data Science Fee Structure
Driven by our energy for teaching and interest in country building,
all PadhAI One courses are presented at entirely reasonable costs.
For understudies/faculty For experts
Understudies signed up for schools/universities and staff members Working experts and those shifting focus over to up-expertise
Candidates should give a substantial ID card demonstrating present affiliation. No pre-necessities
Rs 1,000 + 18% GST for each course Rs 5,000 + 18% GST for each course
dicating present affiliation. No pre-necessities
Rs 1,000 + 18% GST for each course Rs 5,000 + 18% GST for each course
The PadhAI One Series
This course is important for the full PadhAI One series
Foundations of Data science
Open for enrollments
5 months
Rs 1,000 for understudies
This course
Machine Learning
Not far off!
5 months
Rs 1,000 for understudies
Deep Learning
Open to enlistments
5 months
Rs 1,000 for Students
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