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To grow your audience, build connections and turn your Followers into raving Fans and Buying Customers, authentically!
Course Highlights :
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Lorem Ipsum is simply dummy text of the printing industry.
Lorem Ipsum is simply dummy text of the printing industry.
Lorem Ipsum is simply dummy text of the printing industry.
Description:
This course provides a comprehensive introduction to Python programming specifically tailored for data analysts. Participants will learn the essential concepts, techniques, and tools used in Python to manipulate, analyze, and visualize data efficiently. By the end of this course, you will have a solid foundation in Python programming language and be equipped with the skills needed to perform data analysis tasks effectively.
Key Highlights:
What you will learn:
| Introduction to Python for Data Analysis | |||
| Overview of Python programming language | |||
| Why Python is widely used for data analysis | |||
| Installing Python and required packages | |||
| Setting up a development environment | |||
| Working with Data in Python | |||
| Understanding data types in Python | |||
| Importing and exporting data in various formats (CSV, Excel, etc.) | |||
| Data cleaning and preprocessing | |||
| Exploratory data analysis with Python libraries (Pandas, NumPy) | |||
| Data Visualization with Python | |||
| Introduction to data visualization and its importance in analysis | |||
| Plotting data using Matplotlib | |||
| Creating interactive visualizations with Seaborn and Plotly | |||
| Advanced data visualization techniques | |||
| Statistical Analysis in Python | |||
| Descriptive statistics with Python | |||
| Hypothesis testing and statistical significance | |||
| Correlation and regression analysis | |||
| Introduction to machine learning algorithms for statistical analysis | |||
| Data Wrangling and Transformation | |||
| Data wrangling techniques with Pandas | |||
| Reshaping and pivoting data | |||
| Merging and joining datasets | |||
| Working with missing data | |||
| Time Series Analysis | |||
| Understanding time series data | |||
| Time series visualization and exploration | |||
| Forecasting techniques | |||
| Analyzing seasonal and trend patterns in time series data | |||
| Advanced Topics in Python for Data Analysis | |||
| Handling large datasets | |||
| Parallel computing and performance optimization | |||
| Applying Python in big data analysis | |||
| Introduction to deep learning for data analysis | |||
Yes. You get a lifetime access to this course and all the further content updates in this course.
Once you enroll for the course you get access to the entire material at once so you can plan as per your availability. Also you can come back to the module whenever you feel like.
If you want to organically grow your audience on Instagram and connect with potential customers then this course is for you.
Anybody who looks for 'Get rich quick' technique - this course is not for you. If you consider yourself advance marketer then also this course is not for you.
This course focuses on organically growing your audience hence paid marketing is not a part of this course.
No worries! In case you miss any live call, you get access to the recording of it.
This course focuses on organically growing your audience hence paid marketing is not a part of this course.
No worries! In case you miss any live call, you get access to the recording of it.
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