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.
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.
This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
The Data Science with Python course provides a comprehensive overview of Python's tools and techniques for data analytics. Learning Python is a vital skill for numerous data science roles, and you can cultivate it through this course. With a blended learning approach, you can grasp Python for data science alongside concepts such as data wrangling, mathematical computing, and more and propel your career as a data scientist.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
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.
Our course is exhaustive and this Data Science certification is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Science skills you've gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. Companies that collect massive amounts of data use various data science tools and techniques to build predictive models. Simplilearn’s Data Science training can help you learn all its concepts from scratch.
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.