About this Course
The Data Science with Python course teaches you to master the concepts of Python programming. Through this Data Science with python training, you will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon course completion, you will master the essential Data Science tools using Python.
This Data Science with Python course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with our Data Science with Python training.
Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science. According to the US Bearue of Labor Statistics around 11.6 million data science jobs will be created by 2026 and professionals with Python skills will have an additional advantage.
COURSE COST
NGN 150,000
TIMELINE
8 Days
SKILL LEVEL
Beginner
INCLUDE IN THE COURSE
Rich Learning
Content
Taught by
Industry Pros
Student Support
Community
Interactive Quizzes
Self-Paced Learning
Join the Path to Greatness
This course is one of your fundamental step towards a new career building of confidence in Become A Data Scientist at Greaterheight Academy Program.
OUR COURSE
Introduction To Python For Data Science
Enhance your skill set and boost your hirability through innovative, independent learning.
GREATERHEIGHT ACADEMY PROGRAM
Become A Data Scientist
Accelerate your career with the viable confidential credentials that fast-tracks you into a job and or business success.
LEARN MORE
| Date | Venue | Course Fee Before 28 June 2022 |
Course Fee Before 2 September 2022 |
|---|---|---|---|
|
6 – 16 May 2022
|
17B Debo Aina Crescent, Omole Phase I, Ojodu
|
NGN 150,000
|
NGN 310,000
|
| Date | Venue | Course Fee Before 28 June 2022 |
Course Fee Before 2 September 2022 |
|---|---|---|---|
|
6 – 16 May 2022
|
17B Debo Aina Crescent, Omole Phase I, Ojodu
|
NGN 150,000
|
NGN 310,000
|
| Date | Venue | Course Fee Before 28 June 2022 |
Course Fee Before 2 September 2022 |
|---|---|---|---|
|
6 – 16 May 2022
|
17B Debo Aina Crescent, Omole Phase I, Ojodu
|
NGN 150,000
|
NGN 310,000
|
| Date | Venue | Course Fee Before 28 June 2022 |
Course Fee Before 2 September 2022 |
|---|---|---|---|
|
6 – 16 May 2022
|
17B Debo Aina Crescent, Omole Phase I, Ojodu
|
NGN 150,000
|
NGN 310,000
|
Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions and successfully complete the course assessment will receive Certificate of Completion.
*Book and pay full fee for two colleagues and the third attends for FREE
- Not applicable in conjunction with corporate discounts
- Payment to be settled before start of the course to avail the offer
- This offer is not applicable on Early Bird Prices
For more information, email GreaterHeight Academy on info@greaterheight.academy
The demand for Data Science with Python programming professionals has surged, making this course well-suited for participants at all levels of experience. This Data Science with Python course is beneficial for analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.
Prerequisites and Requirements
To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this training
See the Technology Requirements for using GreaterHeightAcademy.
Why Take This Course?
At the end of this course students will understand:
- Data collection, analysis and inference
- Data classification to identify key traits and customers
- Conditional Probability-How to judge the probability of an event, based on certain conditions
- How to use Bayesian modeling and inference for forecasting and studying public opinion
- Basics of Linear Regression
- Data Visualization: How to create use data to create compelling graphics
WHAT DO I GET?
Instructor
Materials
Learn by doing exercises
and assignments
Taught by industry
professionals
Documentation
Launcheon
Certificate of
completion
WHAT YOU WILL LEARN
Lesson 1
Introduction to Data Science
- Introduction to Data Science
- What Will You Learn
Lesson 2
Introduction to Statistics
- Learning Objectives
- What Is Statistics
- DWhy Statistics
Lesson 3
Understanding the Data
- Learning Objectives
- Types of Data in Business Contexts
- Data Categorization and Types of Data
- Types of Data Collection
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GET THE INFO FROM AN EXPERT
Dive deep into the curriculum, the course structure, and what you can achieve from a course mentor.
See if this program is a fit for you. Meet the GreaterHeight team, get an overview of the program curriculum, and chat with other students thinking about this program.
Statistical Thinking For Data Science And Analytics information Session
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FAQs
We love questions, almost as much aswelove providing answers.Here are a few samplings of what we're typically asked, along with our responses.
Greaterheight Academy strives to provide the latest, best-quality content that’s up to date with current industry standards. Our experienced and certified trainers are subject matter experts who constantly research the latest trends and infuse them into our training programs. Every change happening in the market is immediately considered and our training content is regularly upgraded and updated to reflect current market trends.
- Introduction to Data Science
- Statistical Thinking 1
- Statistical Thinking 2
- Exploratory Data Analysis and Visualization
- Introduction to Bayesian Modeling
Creative, dynamic, and serious minded Student, Managers in various fields, Marketers and Sales Executives, Data Analysts, Database Engineer, Big Data Engineer and reps and that are looking forward to be porfessionals Data Science Engineer.
You will create a project (see also our project section) as following:
- Data collection, analysis and inference
- Data classification to identify key traits and customers
- Conditional Probability-How to judge the probability of an event, based on certain conditions
- How to use Bayesian modeling and inference for forecasting and studying public opinion
- Basics of Linear Regression
- Data Visualization: How to create use data to create compelling graphics