Become equipped with the knowledge and skills to extract valuable insights from complex datasets, apply cutting-edge algorithms, and make informed decisions. Dive into the world of data-driven discovery and unleash your potential to solve real-world problems through advanced statistical modeling and predictive analytics.
With guided mentorships
Build an impressive portfolio
Work with a career coach
Become equipped with the knowledge and skills to extract valuable insights from complex datasets, apply cutting-edge algorithms, and make informed decisions. Dive into the world of data-driven discovery and unleash your potential to solve real-world problems through advanced statistical modeling and predictive analytics.
With guided mentorships
Build an impressive portfolio
Work with a career coach
WHAT YOU’LL
LEARN
The foundations of data science, including data manipulation, cleaning, and visualization techniques.
Statistical analysis and exploratory data analysis to extract meaningful insights from diverse datasets.
Supervised learning algorithms such as linear regression, decision trees, and support vector machines for predictive modeling
Unsupervised learning techniques like clustering and dimensionality reduction to uncover patterns and structure within data.
Apply various data science skills, techniques, and tools to complete a project and publish a report
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
1: Introduction to Data Science: Definition, Roles, and Skill sets
2: Introduction to various Data Science Tools: Python, R, SQL, Jupyter Notebooks, etc.
3: Installation and Setup of Tools
4: Introduction to Python Programming: Variables, Types, Lists, and Dictionaries
1. Python Conditional and Looping Structures
2. Python Functions, Modules, and Libraries
3. Introduction to NumPy
1. Introduction to Pandas: Series and DataFrames
2. Data Cleaning and Preparation with Pandas
1. Descriptive Statistics and Visualizations with Matplotlib and Seaborn
2. EDA Case Study
1. Correlation and Regression Analysis
2. Introduction to Bayesian Statistics
1. Supervised Learning: Linear Regression
2. Supervised Learning: Logistic Regression
3. Introduction to Classification: k-NN, Decision Trees
1. Unsupervised Learning: Clustering, k-Means, Hierarchical
2. Unsupervised Learning: Dimension Reduction, PCA
3. Model Evaluation and Validation: Confusion Matrix, ROC Curve, Cross-Validation (2 hours)
1. Ensemble Methods: Random Forests, Bagging, Boosting
2. Support Vector Machines
3. Introduction to Neural Networks
1. Introduction to Natural Language Processing
2. Introduction to Large Language Models (LLMs)
1. Introduction to Convolution Neural Networks (CNN)
2. Introduction to Recurrent Neural Networks (RNN)
1. Introduction to Hadoop, Spark
2. Introduction to Visualisation: Tableau and Power BI
1. End-to-end Data Science Project Walkthrough (6 hours)
We prepare you for real-world interviews by providing one-on-one career coaching, mock interviews, and resume/LinkedIn editing.
You will work with senior Data Scientists/analysts who make hiring decisions.
Data science is in high demand across industries, with a shortage of skilled professionals. As organizations increasingly rely on data-driven insights, the job market offers abundant opportunities for data scientists, ensuring excellent career prospects and job security.
Data scientists are highly valued for their expertise, and this is reflected in competitive salary packages. Data science professionals often enjoy above-average salaries, along with additional benefits and opportunities for career growth, making it a financially rewarding field.
Data science encompasses a wide range of skills, including statistics, programming, machine learning, and data visualization. By acquiring these skills, you develop a versatile toolkit that can be applied across industries and domains, opening doors to diverse career paths and the ability to work on fascinating projects.
Data Science is entry-level friendly unless some other areas of tech that are not particularly easy to break in for people without tech background
of our graduates accept regular offers the first 4-6 weeks after graduating
FLEXIBLE TUITION
MADE EASY
We offer flexible payment options tailored to your needs. Choose a plan that aligns with your budget, allowing you to focus on honing your skills without financial constraints.
$500
Per month / 4 months
$2,000 in total payment
$112
/month with Affirm
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$2,000 total
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Study now, pay later
$2,000 total
Not sure?Talk to our advisors
Our program advisors will answer any questions you have about the Data Science Training Program and what it’s like to learn with IBT Learning. They’ll also discuss your background, transferable skills, interests, career goals, and more.
Not sure?Talk to our advisors
Our program advisors will answer any questions you have about the Data Science Training Program and what it’s like to learn with IBT Learning. They’ll also discuss your background, transferable skills, interests, career goals, and more.
We connect learners with peers and experts from around the world, facilitating networking and collaboration opportunities.
We take pride in the quality of highly sought-after instructors at IBT Learning. Our up-to-date curriculum is designed and taught by the best-in-class IT professionals.
We take pride in the quality of highly sought-after instructors at IBT Learning. Our up-to-date curriculum is designed and taught by the best-in-class IT professionals.
Our track record speaks for itself. We have a high placement rate, and our graduates have gone on to work at some of the most prestigious tech companies worldwide. We don't just aim to prepare you for the tech world—we guarantee your success.
The course is designed for individuals without a background in tech. Familiarity with Excel is recommended but not mandatory.
Yes, upon successful completion of the course, you will receive a certificate from IBT showcasing your proficiency in data science and machine learning concepts.
Yes, we do. We have specialist job coaches that will guide you after completing this program. You will get interview requests landing in your email from companies looking to employ your skills. We work with premium head hunting agencies and their premium end clients looking to hire top talents.
We match you with one-on-one mentors and coaches that will guide you and get you prepared for the job market. After we help you land your dream job, we provide on-the-job support for up to one year, helping you every step of the way. We help you brand yourself as a competent Data scientist and also connect you to opportunities on our own job placement platform: www.rekroot.me
Yes, this course caters to both beginners and individuals with some prior knowledge of data science. The curriculum covers fundamental concepts and gradually progresses to more advanced topics to ensure a comprehensive learning experience.
Yes, you will have access to the course materials even after the course completion. You can refer back to the content, lecture recordings, and resources at your convenience.
Absolutely! The course emphasizes practical learning, and you will have the opportunity to work on hands-on projects that apply data science and machine learning techniques to real-world scenarios.
