JOIN ONE OF THE MOST IN-DEMAND PROFESSION IN IT WORLD
$40.20 Billion
Market Worth by 2027
200,000 to 400,000
More Job Openings by 2027
70 to 75%
Growth by 2027
$125,000
Median Salary
ABOUT THIS COURSE
Senior Data Scientists have a vast array of skills and specialize in dealing with large amounts of data to help derive meaningful conclusions. By diving deeper into the core principles of Data Science, you’ll learn to bridge the gap between math, statistics, algorithms, design and programming. Learn to tackle messy data and help make better decisions and predictions.
Derived from the professional skills and experience of real Senior Data Scientists, this Skill Plan will teach you the vital skills you need to excel as a Senior Data Scientist.
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 120 hours of instructor-led training and 200+ 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 Senior 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 Senior Data Scientist has a strong support for complex data analysis, data visualization, Big Data Analysis, etc. You will learn the best practices and common principals about analysing advanced unstructured and structured data for business analysis and predicting.
Who Should Attend This Course
Being a Senior Data Scientist professional is the perfect amalgam of experience. 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/massive data sets with parallel and analytical frame of mind are most suited to pursue this path and the following professionals:
- Data Scientist who want to become Senior Data Scientist
- IT professionals/Developers, IT Banking/Finance professionals / Marketing and Supply-Chain-Network Managers
- Freshers into data analytics Programs Programs.
CAREER SUPPORT
We provide each of our Senior 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 Senior 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 a mastery of the skills you need to land a job as a Senior Data Scientist. GreaterHeight Academy teaches the in-demand skills you need to become Senior Data Scientist Stack in just 4 to 6 months, and you will learn the following from fundamentals through advance, depending on your receptiveness to teaching and mentoring:
Data Science Basics
Starting with the basics, we introduce the cornerstone of data science—Machine Learning. We offer a wide coverage of the topics and work with real-world projects to get you up and started. This course is a “refresher” to help you get started with data science quickly.
What will I be able to do?
Learn how to tackle every step in the data science pipeline; Acquire, clean, analyze, and visualize data; Learn the fundamentals
of data science and data analysis; Learn the underlying principles of machine learning; and Apply the appropriate machine learning
technique to address a real-world problem.
The Course includes:
Practical Data Science Course
Practical Machine Learning
Data Science with Python
In this Course, we lay the foundations and dive into the most popular language of data science: Python. We get up and running with Python to develop insights from data and focus on real-world data science tasks. You will learn about powerful ways to store and manipulate data as well as tips and tricks to master data science.
What will I be able to do?
Take command of Hadoop and Spark with Python for effective machine learning problems, Choose the most effective and scalable
learning algorithm, Work with modern state-of-the-art large-scale machine learning techniques, Resolve complex machine learning
problems and explore deep learning, and Leverage Python's most powerful open source libraries for deep learning.
Advanced Data Science
Data science is complex; it expands beyond just Python and R. Big data platforms such as Spark are making amazing progress in this field. Advanced concepts and exciting topics such as deep learning are making waves in data science. Take this card and really push your skills and stand above and beyond your peers.
What will I be able to do?
Gain invaluable insights into interfacing Julia with an R application, Implement deep learning algorithms and work with revolutionary
libraries in Python, Work through real-world examples to develop your own machine learning systems with Spark, Understand intuitively
convolutional neural networks for image recognition, and Design and train a multilayer neural network with TensorFlow.
The Course includes:
Machine Learning with Spark
Julia for Data Science
Deep Learning with TensorFlow
Working with Big Data
Discover the hype surrounding the big data phenomenon. In this course, learn to find hidden meanings and patterns from real-world data and learn vital problem-solving skills. If you don’t know how to work with and manage your data properly, you risk missing the signal in the noise. Working with Big Data shows you how to store, access, and analyze your data to become proficient with key technical terms and big data tools and applications.
What will I be able to do?
Write distributed applications using the MapReduce framework, Conduct batch and real-time data analysis, Get essential techniques when
working with HDFS and Yarns, Discover Spark stream processing via Flume HDFS, and Perform Spark-based graph processing using Spark
GraphX.
The Course includes:
Learning Hadoop 2
Mastering Apache Spark
Data Cleaning
It is said that 80% of a data scientist’s time involves sorting, cleaning, and tagging data. This course teaches you how to work with your data, ask the right questions, manipulate data sets, and improve the accuracy of your results.
What will I be able to do?
Create your own clean data sets that can be packaged and licensed; Develop a range of solutions for detecting and cleaning bad data;
Identify, collect, and analyze Hadoop data sets; Perform complex forensic analysis; and Use state-of-the-art forensic tools.
The Course includes:
Clean Data
Big Data Forensics – Learning Hadoop Investigations
Data Mining Fundamentals
Learn the fundamentals and the complexities of different data types. This course provides you with a diverse set of problems and solutions in data mining. Analyze big data sets, extract patterns, and build the right models that have a positive impact on your results. Learn advanced techniques with both Python and R, such as text, time series, discrete sequences, graph data, and social networks.
What will I be able to do? Design and develop data mining applications using a variety of datasets, Familiarize yourself with the crucial data cleaning processes, Extract data from web pages with simple Python programming, Perform sentiment analysis, and Develop recommendation systems.
The Course includes:
Learning Data Mining with Python
Mastering Social Media Mining with R
Web Scraping with Python
Data Analysis Basics
Welcome to the world of exploratory data analysis. Dive into processing, wrangling, manipulating, and crunching data. Learn how to acquire and present data efficiently while discovering how to process larger datasets and create compelling stories. This card helps you get started with Python and R.
What will I be able to do?
Master the core features of pandas used in data analysis, Analyze real-world datasets using pandas, Learn how pandas builds on NumPy
to implement flexible indexed data, Learn Bayesian methods for estimating parameters, and Apply powerful classification methods to
predict categorical data.
The Course includes:
Mastering pandas
Data Analysis with R Language
Data Visualization Fundamentals
Data is exploding in growth, and so is the demand for transparency and openness of that data. Data visualization is an industry requirement from data analysts and scientists. Businesses are asking for greater insights and understanding through compelling visuals. Visualization Workshop unlocks your creativity and helps you design data stories that communicate complex data through innovative approaches. Learn to find data and tailor it to your needs. We will explore the powerful D3 library along with data visualization libraries in both Python and R.
What will I be able to do?
Explore D3 layouts, and understand and leverage D3 force; Learn to interpret data and tell stories with R; Utilize various R packages
to generate graphs, manipulate data, and create beautiful visuals; Use the most popular data visualization libraries in Python; and
Create 3D visuals and explore Matplotlib to find hidden gems.
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 Senior 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 Senior 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 Senior Data Science 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 Senior 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 Senior 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 A Senior 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.
By the end of this lesson, you will be able to design a Web Apps as a Senior Data Scientist as you master the followings:
- Learn how to tackle every step in the data science pipeline
- Acquire, clean, analyze, and visualize data
- Learn the fundamentals of data science and data analysis
- Learn the underlying principles of machine learning
- Apply the appropriate machine learning technique to address a real-world problem
- Take command of Hadoop and Spark with Python for effective machine learning problems
- Choose the most effective and scalable learning algorithm
- Work with modern state-of-the-art large-scale machine learning techniques
- Resolve complex machine learning problems and explore deep learning
- Leverage Python's most powerful open source libraries for deep learning
- Gain invaluable insights into interfacing Julia with an R application
- Implement deep learning algorithms and work with revolutionary libraries in Python
- Work through real-world examples to develop your own machine learning systems with Spark
- Understand intuitively convolutional neural networks for image recognition
- Design and train a multilayer neural network with TensorFlow
- Write distributed applications using the MapReduce framework
- Conduct batch and real-time data analysis
- Get essential techniques when working with HDFS and Yarns
- Discover Spark stream processing via Flume HDFS
- Perform Spark-based graph processing using Spark GraphX
- Create your own clean data sets that can be packaged and licensed
- Develop a range of solutions for detecting and cleaning bad data
- Identify, collect, and analyze Hadoop data sets
- Perform complex forensic analysis
- Use state-of-the-art forensic tools
- Design and develop data mining applications using a variety of datasets
- Familiarize yourself with the crucial data cleaning processes
- Extract data from web pages with simple Python programming
- Perform sentiment analysis
- Develop recommendation systems
- Master the core features of pandas used in data analysis
- Analyze real-world datasets using pandas
- Learn how pandas builds on NumPy to implement flexible indexed data
- Learn Bayesian methods for estimating parameters
- Apply powerful classification methods to predict categorical data
- Explore D3 layouts, and understand and leverage D3 force
- Learn to interpret data and tell stories with R
- Utilize various R packages to generate graphs, manipulate data, and create beautiful visuals
- Use the most popular data visualization libraries in Python
- Create 3D visuals and explore Matplotlib to find hidden gems
View All FAQs
