JOIN ONE OF THE MOST IN-DEMAND PROFESSION IN IT WORLD
$35.20 Billion
Market Worth by 2027
190,000 to 400,000
More Job Openings by 2027
50 to 65%
Growth by 2027
$105,000
Median Salary
ABOUT THIS COURSE
The Python programming language has been described as the language for Data Scientists. Python has an extremely rich ecosystem of Data Science tools, frameworks and libraries. Python is popular because of its ability to solve challenging problems in exploratory data analysis, data visualization, machine learning and deep learning. In this Skill Plan, you’ll learn how to work with cutting-edge libraries and tools such as Jupyter, Tensorflow, Theno, Pandas and more
Derived from the professional skills and experience of real Python Data Scientists, this Skill Plan will teach you everything you need to succeed as a Python Data Scientist today.
Intern Program
When you graduate, you could work remotely as a freelancer or as a full-staff at GreaterHeight Academy for up to 3–4 months as a paid intern.
Certificates
The course is a package of more than 70 hours of instructor-led training and 130+ hours of hand-on. Once you meet the requirements of the program, you will receive Greaterheight Academy's certificate stating that you have acquired the skillset of a Python Data Scientist.
1-on-1 Mentorship
You will get one-on-one help from our mentor(s) and student instructors who will be in charge of reviewing your codes and all of your exercises and project assignments at Greaterheight Academy.
Develop Your Skill
Become a Python Data Scientist and learn to solve challenging problems in exploratory data analysis, data visualization, machine learning and deep learning.
Who Should Attend This Course
Being a Data Science professional is the perfect amalgam of experience, Python development knowledge, and the correct tools/ technologies. It is a good career choice for both newbies and experienced professionals who have industry knowledge. Aspiring professionals of any educational background with an IT professional/analytical frame of mind are most suited to pursue this path. We would recommend this path strongly for professionals in the following roles:
- Beginners who want to become a Python Data Scientist
- IT professionals/Developers.
- Freshers into data analytics domain AND Students in UG/ PG Analytics Programs.
CAREER SUPPORT
We provide each of our Python Data Scientist graduates with access to job readiness training, connections to employers and opportunity to hone new skills.
Job Preparation
Build a strong resume with one-on-one coaching support. Learn how to present your code and discuss open source contributions.
Career Resources
Visit development teams at local companies. Attend panel discussions with industry experts.
Networking Opportunities
Showcase your work to potential employers in our global network. Get to know members of your local tech community.
STUDENT LIFE
We break up our daily schedule with a mix of presentations, interactive labs and project collaboration, no two days look exactly alike, but here's an example of what your day could look like on campus.
9
am
Review
Group Review
Daily review and code exercises that reinforce concepts and activities
10
am
Class
Instructor-guided Lessons & Activities
Learn key objectives through lectures, discussions, and activities
12
noon
Lunch
Panel Discussion
Hear from industry insiders during talks and panel discussions (recurring)(Optional)
2
pm
Labs & Exercises
Student-guided Group Activities
Practice new skills, work on labs solo or in groups, & receive instructions on key topics.
5
pm
One-on-Ones
Catch-up on Goals & Progess
Personal review and support from instructors
6
pm
Homework
Panel Discussion
Evening TAs are on hand to support the class in completing daily assignment and review exercises
Career Services
Our experienced team works directly with each student to ensure they are able to excel in their career search and negotiate multiple offers.
Online Presence
By graduation, you will have a strong, unique Python Data Scientist Programming portfolio, online profiles and a resume that reflects your value in the job market.
98%
Graduate Hiring Guaranteed
N150,000 +
Avg Graduate Salary
50+
Partners & Collaborators
Online Presence
Our instructional staff conducts mock interviews, training exercises and role-play sessions designed to help you tackle the job interview.
WHAT YOU WLL LEARN
Gain the skills you need to land as a Python Data Scientist. GreaterHeight Academy teaches the in-demand skills you need to become a Python Data Scientist in just 4 to 6 months, and you will learn the following from fundamentals through advance, depending on your receptiveness to teaching and mentoring:
Python Data Science Fundamentals
In this Course we lay the foundations to guide you across all the data munging and preprocessing phases in Data Science. Explore core data science activities and learn the fundamentals of data science tools and algorithms with Python. This card is perfect for anyone looking to make decisions more effectively.
What will I be able to do?
Understand the basic data mining concepts to implement efficient models using Python; Dive into the most effective
data cleaning process to get accurate results; Manipulate, fix, and explore data in order to solve data science problems;
Get data ready for your data science project; and Optimize your machine learning models.
Python Data Analysis
In this Course, we learn how to acquire, clean, analyze, and present data efficiently. Python data analysis dives into the details of Pandas, IPython, Jupyter and a number of popular libraries to offer a rich, interactive set of examples. Learn the best methods to use in different real world scenarios to solve data problems that are beyond the capability of a spreadsheet. Explore data using graphical and numerical libraries with easy-to-follow examples.
What will I be able to do?
Install Anaconda and code in Python in the Jupyter Notebook, Learn how Pandas builds on NumPy to implement flexible
indexed data, Simulate mathematical models with NumPy, Visualize techniques for pandas and statistical data, and
Apply advanced statistical analysis.
Python Data Visualization
In this Course, we learn how to best communicate data findings and display them for precise, effective and quick analysis. Understand the process of data visualization, and present data with inspiring visual designs. Learn how to gather, clean, access, and map data to a visual frameworks using libraries such as matplotlib.
What will I be able to do?
ILearn best practices for data visualization, Explore visualization choices with Python to represent data science,
Compare Python with other visualization approaches such as D3.js, and Optimize visualization techniques and apply
them to different industries.
The Course includes:
Mastering Python Data Visualization
Python Machine Learning
Python machine learning explores the world of artificial intelligence and predictive analytics. This Course covers data preprocessing, exploratory data analysis, training algorithms, evaluation of results and implementation of key algorithms into real-world systems.
What will I be able to do?
Predict continuous target outcomes using regression analysis, Write clean Python code and optimize the strength of
your algorithms, Learn how to build neural networks using Keras and Theano, Review fundamental concepts including
supervised and unsupervised experiences, and Use scikit-learn and evaluate the performance of machine learning
systems.
The Course includes:
Python Machine Learning
Mastering Machine Learning with scikit-learn
Deep Learning with Python
Discover deep learning with python and dive into real-world practical information available on the subject. deep learning is starting to become a mainstream skill required by data scientists and one that’s paving the way for modern machine learning. This course gives you a solid foundation to Deep Learning with python and its powerful libraries, such as Tensorflow and Theno.
What will I be able to do?
Get to grips with new frameworks like Tensorflow, Theano, and Keras; Install and adopt TensorFlow in your Python
environment; Train and test neural networks to fit your data model; Understand how trends like Deep Learning will
impact future roles and responsibilities; and Use GPU computing to analyze big data.
The Course includes:
Deep Learning with Python
Getting Started with TensorFlow
Download our full curriculum to see what we teach week-by-week!
APPRENTICESHIP
Beyond the classroom, the Apprenticeship emphasizes real-world work experience, collaboration with a team of developers, project planning and management, and pair programming, as well as interview and resume preparation. By building professional experience into the GreaterHeight Academy program, we ensure that our developers continue to grow after class-room interactions. Every day apprenticing makes you more competitive in the industry and more likely to land the Python Data Scientist position of your dreams.
GreaterHeight
Technologies
Our independent GreaterHeight Technologies, GreaterHeight Technologies, to provide GreaterHeight Academy graduates with the professional experience they need to launch their coding careers. Our developers deliver polished web applications to clients.
Work Alongside
Experienced Devs
During your Python Data Scientist apprenticeship, you'll pair program with the agency's more experienced Business Analyst. This opportunity allows apprentices to learn from senior devs hands-on, plus gain experience programming in pairs - a common industry practice.
Job Prep
Curriculum
Your apprenticeship with Greaterheight Academy also includes our three-part job-prep curriculum. You'll learn how to land interviews, improve the soft skills employers look for, and master Python Development and technical topics likely to come up in interviews.
BENEFITS
GUARANTEED
EXPERIENCE
Guaranteed way to gain real-world experience in your new profession and build an impressive Python Data Scientist Stack portfolio.
TEAM
COLLABORATION
Learn skills you can't get in a classroom: team collaboration, working with clients, agile, and more.
PROFESSIONAL
MENTORING
Gain knowledge from experienced professional developers throughout your apprenticeship.
SELF
CONFIDENCE
Gain confidence and prove to yourself that you are now a professional Python Data Scientist Stack developer.
TUITION
N550,000
Financing Available
Financing plans available through Greaterheight Academy and our hand-selectd financing partners, Skins Funds. Repayment period ranged from 0-5years with monthly payments as low as N20,000.00. Contact your Student Advisor for details.
We stand by your results
Get a job creating software upon graduation, or we will refund your tuition in full. See details
Payment Plans
Tuition can be paid upfront or over six installments. The installment plan: one payment of 50% of the program cost fee upon enrollment, and monthly installments of 10% until the Tuition is fully paid. We accept credit cards, debit cards, checks, and PayPal.
Scholarships
Diversity and Merit Based Scholarships available. Attend an info session to learn more.
Refund Policy
We'll provide you with a full refund if you drop out within 7 days of starting your course. If you choose to drop out later, you will receive a pro-rated refund based on the number of days you've spent in the program, minus a non-refundable 10% of program cost fee.
FUND YOUR FUTURE
Need payment assistant? or financing options allow you to focus on you goals instead of the barrier that stop you from reaching them.
Future Finance
Apply for fixed and term based merit loan
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.
Become An Python Data Scientist 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.
You will create a project and develope Web Apps as you master the following:
- Understand the basic data mining concepts to implement efficient models using Python
- Dive into the most effective data cleaning process to get accurate results
- Manipulate, fix, and explore data in order to solve data science problems
- Get data ready for your data science project
- Optimize your machine learning models
- Install Anaconda and code in Python in the Jupyter Notebook
- Learn how Pandas builds on NumPy to implement flexible indexed data
- Simulate mathematical models with NumPy
- Visualize techniques for pandas and statistical data
- Apply advanced statistical analysis
- Learn best practices for data visualization
- Explore visualization choices with Python to represent data science
- Compare Python with other visualization approaches such as D3.js
- Optimize visualization techniques and apply them to different industries
- Predict continuous target outcomes using regression analysis
- Write clean Python code and optimize the strength of your algorithms
- Learn how to build neural networks using Keras and Theano
- Review fundamental concepts including supervised and unsupervised experiences
- Use scikit-learn and evaluate the performance of machine learning systems
- Get to grips with new frameworks like Tensorflow, Theano, and Keras
- Install and adopt TensorFlow in your Python environment
- Train and test neural networks to fit your data model
- Understand how trends like Deep Learning will impact future roles and responsibilities
- Use GPU computing to analyze big data
View All FAQs
