Statistics & Data Analysis Portfolio
Statistical analysis using Python, Numpy, and Pandas
- Difficulty
- Medium
- Estimated time
- 6-8 hours
Skills
- Numpy
- Pandas
- Statistics
- Hypothesis Testing
Foundational · course 3 of 4
Python for DS – Statistics Essentials
Learn Python for Data Science: Numpy, Pandas, file handling, and statistics fundamentals including correlations, probabilities, distributions, and hypothesis testing.
- videos
- 18
- sections
- 5
- free videos
- 5
The Scientify programme is led by Jihar Gifari.
5 sections · 18 videos
What's inside, section by section.
Videos marked Free play right now, no account needed.
Free video · 1/5
Numpy Array, Pandas Dictionary and DataFrames Part 1
Section 1 · Python for DS 1: Numpy Array, Pandas Dictionary and DataFrames
Free videos in this course
01Python for DS 1: Numpy Array, Pandas Dictionary and DataFrames3 videos · 1 free
Start your Data Science journey with essential libraries: Numpy arrays for numerical computation and Pandas DataFrames for tabular data manipulation.
- 1Numpy Array, Pandas Dictionary and DataFrames Part 1
- 2Numpy Array, Pandas Dictionary and DataFrames Part 2
- 3Numpy Array, Pandas Dictionary and DataFrames Part 3
02Python for DS 2: File Handling, Null, Reindexing, Transform, Merge4 videos · 1 free
Data wrangling techniques: reading various file formats, handling missing values, reindexing, data transformation, and merging datasets.
- 1File Handling, Null, Reindexing, Transform, Merge Part 1
- 2File Handling, Null, Reindexing, Transform, Merge Part 2
- 3File Handling, Null, Reindexing, Transform, Merge Part 3
- 4File Handling, Null, Reindexing, Transform, Merge Part 4
03Statistics Part 1: Intro to Statistics, Correlations, Probabilities, Distributions4 videos · 1 free
Statistics foundations for Data Science: basic statistical concepts, correlation analysis, probability theory, and various types of data distributions.
- 1Intro to Statistics, Correlations, Probabilities, Distributions Part 1
- 2Intro to Statistics, Correlations, Probabilities, Distributions Part 2
- 3Intro to Statistics, Correlations, Probabilities, Distributions Part 3
- 4Intro to Statistics, Correlations, Probabilities, Distributions Part 4
04Statistics Part 2: Point of Estimates, Confidence Interval3 videos · 1 free
Inferential statistics: understanding point estimates, margin of error, and how to build and interpret confidence intervals.
- 1Point Estimates, Confidence Interval Part 1
- 2Point Estimates, Confidence Interval Part 2
- 3Point Estimates, Confidence Interval Part 3
05Statistics Part 3: Hypothesis Testing & Project Portfolio 44 videos · 1 free
Hypothesis testing (z-test, t-test, chi-square) and its application in a statistical analysis portfolio project.
- 1Hypothesis Testing & Project Portfolio 4 Part 1
- 2Hypothesis Testing & Project Portfolio 4 Part 2
- 3Hypothesis Testing & Project Portfolio 4 Part 3
- 4Hypothesis Testing & Project Portfolio 4 Part 4
What you'll learn
- 01Numpy array & Pandas dataframe
- 02File handling & data transformation
- 03Statistics: correlations, probabilities, distributions
- 04Hypothesis testing & confidence interval
Who it's for
- Those who understand basic Python
- Beginner Data Analysts
Tools you'll use
- SciPy
- NumPy
- Pandas
- Python
Portfolio project
The project you'll build.
How to buy
Two ways to open this course.
Take a level package if you want several courses at once, or buy just this course.
With a level package
This course is in each of these packages. A package opens its level and every level below it.
- Foundational package4 coursesRp 79.000 for 1 month · Rp 299.000 for 12 months
- Intermediate package7 coursesRp 99.000 for 1 month · Rp 399.000 for 12 months
- Advanced package12 coursesRp 129.000 for 1 month · Rp 549.000 for 12 months
Buy just this course
Want more than one Foundational course? The Foundational package for 1 month (Rp 79.000) opens 4 courses.
Not sure this is the right level?
Answer four questions about what you already know, then see which level to start at.
Foundational package, 1 monthRp 79.000