Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses
Live sessions on the latest AI trends, Generative AI tools, prompt engineering, and more
Capstone and 25+ industry-relevant data science projects to ensure comprehensive learning
Comprehensive data science curriculum with live online classes by industry experts
Get lifetime access to self-paced e-learning content
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.
Get certified in data science through our IBM program and receive both Data Scientist and IBM certificates to enhance your career prospects. Gain exclusive access to expert-led masterclasses and engaging AMAs with industry leaders.
This collaborative Data Science course with IBM propels your career, delivering world-class training essential for success. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, prompt engineering, ChatGPT, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career. Simplilearn's partnership with IBM offers an integrated blended learning approach, creating data science experts. Ready yourself for top data scientist roles with this industry-aligned course.
Upon completion of this Data Science course, you will receive IBM certificates for the IBM courses and Simplilearn certificates for all the courses in the learning path. These certificates will testify to your skills and assert your data science expertise. You can also avail the following benefits as part of this course:
Masterclasses by IBM experts
“Ask-me-anything” sessions with IBM leadership
Exclusive hackathons conducted by IBM
Industry-recognized data science certification from Simplilearn
Live interactive sessions on the latest AI trends, such as Generative AI, prompt engineering, explainable AI, and more
Learn about ChatGPT, DALL-E, Midjourney and other prominent tools
Data science is one of the hottest professions of this year. The United States Bureau of Labor Statistics sees unprecedented growth in data science and predicts 11.5 million job openings in 2026 at an annual growth rate of 28%. Simplilearn's Data Science course, co-developed with IBM, encourages you to master job-critical skills, including Generative AI, explainable AI, prompt engineering, conversational AI, large language models, statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, recommendation engine, supervised and unsupervised learning and much more.
This Data Scientist course offers a comprehensive curriculum combining live, online, instructor-led classes and self-paced learning videos co-developed with IBM. This Data Science training concludes with a capstone project designed to reinforce the learning by building an industry-relevant product encompassing all the key aspects learned in the training program. The skills learned in this Data Science course will help prepare you for a data scientist role.
Becoming a data scientist is compelling, given the industry's robust growth. The median annual salary stands at $96,072 (Glassdoor). The global data analytics market is projected to reach $132.9 billion by 2026, growing at a CAGR of 25.1% (MarketsandMarkets). The demand for skilled data scientists outpaces supply, leading to a talent gap of 250,000 professionals by 2024 (IBM). With an ever-increasing volume of data – estimated to be 175 zettabytes by 2025 (IDC) – there's an escalating need for experts who can derive meaningful insights. Data science offers a versatile skill set encompassing programming languages like Python, statistical analysis, machine learning, and data visualization, making it an essential profession across industries. Embracing a data science career opens avenues for impactful contributions, lucrative compensation, and a future-proof skill set in our data-driven world.
In this Data Science course, you will:
Apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models
Learn about prompt engineering, explainable AI, conversational AI, large language models, ChatGPT, and much more
Understand Generative AI, its landscape, and practical applications
Grasp fundamentals of Excel analytics functions and conditional formatting
Understand the tools and techniques used in business analysis planning and monitoring
Gain an in-depth understanding of data structure and data manipulation
Understand and use linear and non-linear regression models and classification techniques for data analysis
Obtain a comprehensive knowledge of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipelines
Gain practical mastery over principles, algorithms, and applications of machine learning
Gain expertise in mathematical computing using the NumPy and scikit-learn package
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
Master the concepts of recommendation engines and time series modeling
Learn to visualize data using Tableau and Power BI and become proficient in building interactive dashboards
This Data Science course includes 25+ industry-relevant projects from various domains to help you master data science concepts. A few projects that you will be working on are mentioned below:
Sales Analysis
Use Python to analyze a clothing company’s sales data for the fourth quarter across Australian states to help the company make data-driven decisions for the coming year.
Employee Performance Analysis
Create ML programs to understand the factors that influence employee turnover. Use clustering, SMOTDE techniques, and the K-fold cross-validation model to analyze performance and suggest employee retention strategies.
Classification of Songs
Perform exploratory data and cluster analysis to create a recommendation system for song lists.
Interactive Sales Dashboard
Create an interactive dashboard for an apparel OEM’s sales department in Tableau for ad-hoc analysis and reporting.
Crime Analysis with Tableau
Build an intuitive dashboard to keep the police department and city officials up-to-date on crime statistics using Tableau.
Marketing Strategies with EDA
Perform exploratory data analysis and hypothesis testing to help a marketing department understand the factors contributing to customer acquisition and build a better strategy.
Ecommerce App with Python
Build an ecommerce app with Python and its libraries that will categorize, add, or remove items from a cart and support different payment options.
Weather Prediction
Create a classification model leveraging ten years of rainfall data to predict the weather for different locations across Australia.
Credit Card Fraud Analysis
Utilize data science and machine learning methodologies to identify fraudulent credit card transactions to ensure customers are not charged for items they did not purchase.
The data science role requires an amalgam of experience, data science knowledge, and correct tools and technologies. It is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue Data Science training, including:
IT Professionals
Analytics Managers
Business Analysts
Banking and Finance Professionals
Marketing Managers
Supply Chain Network Managers
Beginners or Recent Graduates in Bachelor’s or Master’s Degree
Professionals wishing to succeed in this Data Science course should have the following:
Basic knowledge of mathematics and statistics
Basic understanding of any programming language
Accelerate your career with our top-ranked data scientist course. Learn the skills needed to showcase your data science skills through our curated learning path.
Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.
* Ideal for aspiring SQL developers and data analysts
* Perfect for enhancing database management skills
* Beginner-friendly course designed by Simplilearn
* Covers basics to advanced topics of SQL
* Learn data storage, retrieval, and manipulation using SQL
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
* Gain a comprehensive overview of Python's tools and techniques for data analytics
* Experience vital skill development in Python for various data science roles
* Engage in a blended learning approach covering data wrangling, mathematical computing, and more
* Explore practical applications for a hands-on understanding
* Propel your data science career with Simplilearn's specialized training
* Gain career success with our comprehensive Machine Learning course
* Learn from 40+ hrs of Applied Learning and interactive labs
* Complete 4 hands-on projects to solidify your understanding
* Receive mentoring support throughout your learning journey
* Master essential machine learning concepts for certification
* Gain the skills needed to become a successful machine learning engineer
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.
* Aligned with PL-300: Microsoft Power BI Data Analyst certification
* Topics include Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions
* Learn to experiment, refine, prepare, and present data with ease
* Explore comprehensive Power BI training for hands-on applied learning
* Learn through a practical approach to help you gain expertise
Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.
Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.
Data science & analytics jobs are booming with 31% projected growth this decade. The data science platform market could surge from USD 10.15 billion (2024) to USD 29.98 billion (2029), demonstrating a 23.5% CAGR. This highlights the field's rapid expansion.
Expected New Jobs For Data Science And Analytics
Annual Job Growth By 2030
Average Annual Salary (US)
This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
The admission fee for this program is $ 1,449
You can pay monthly installments for Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
This comprehensive training incorporates the following Data Science courses:
Python for Data Science
R Programming for Data Science
Machine Learning
Tableau
Data Science Capstone
In a Data Science course, you will learn about many concepts if you are a beginner or an intermediate. This training program is around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Besides the theoretical material, our Data Science course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.
A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where statistical analysis is performed to gain actionable insights.
Data scientists are responsible for analyzing large amounts of data, visualizing them to find hidden trends and patterns, and drawing meaningful insights. Such actionable insights aid in solving complex business problems and making better decisions. They apply data science techniques like exploratory data analysis, statistical modeling, and machine learning to uncover hidden correlations in data. This Data Science course can help you become capable of handling all these responsibilities.
These Data Science courses, co-developed with IBM, will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. This Data Science training will teach you R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise.
Becoming a Data Scientist isn’t easy for everyone; one must possess several technical skills to qualify for this role. The top technical skills you will require are core mathematics, statistics, basic programming, machine learning, data wrangling, data visualization, and the ability to process large data sets. Our Data Science course can help you gain all these skills.