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Comprehensive data science curriculum with live online classes by industry experts
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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.
As part of this data science course, you will:
Learn to apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models.
Learn about Python for data science, prompt engineering, explainable AI, conversational AI, large language models, ChatGPT, and 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 data science principles, algorithms, and machine learning applications.
Gain expertise in mathematical computing using the NumPy and scikit-learn packages.
Use SciPy and its sub-packages, such as Integrate, Optimize, Statistics, IO, and Weave, to perform scientific and technical computing.
Master the concepts of applied data science, recommendation engines, and time series modeling.
Learn to visualize data using Tableau and Power BI and become proficient in building interactive dashboards.
The data science role requires an amalgam of experience, knowledge, and the correct tools and technologies. Data science is a solid career choice for both new and experienced professionals. The course is best suited for aspiring professionals from any educational background with an analytical mindset.
The following professionals can most definitely pursue a career in the field of data science:
Professionals wishing to succeed in this data science course should have the following:
Becoming a data scientist is lucrative yet compelling, given the industry's robust growth. The average salary for a data scientist in the United States is $1,55,263 per year (Glassdoor). The global data science 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. 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.
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.
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
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.
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
Data science courses are training programs that aim to give students the abilities and information necessary to use programming, statistics, machine learning, and domain expertise methods to analyze, evaluate, and extract valuable insights from big and complicated datasets.
In this data science course, you will learn about many concepts of varied complexity- from beginner to intermediate and advanced levels.
A data scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to business leaders. This 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.
Such actionable insights aid in solving complex business problems and making better decisions. Data scientists apply data science techniques like exploratory data analysis, statistical modeling, and machine learning to uncover hidden correlations in data. If you are looking to ace your career as a data scientist, this data science course can help you handle all these responsibilities.
Upon completing this data science course, you will receive IBM and Simplilearn certificates for their respective courses in the learning path. These certificates will testify to your skills and assert your data science expertise. Additional benefits of this course include:
Our highly qualified data science trainers are industry experts with many years of relevant experience in machine learning, Python for data science, and applied data science.
Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating remain on our faculty.
The admission process for the data science course consists of three simple steps:
Once payment is received, you will automatically receive a payment receipt and access information via email.
With the growing demand for data scientists but a talent scarcity, companies worldwide are paying high salaries to skilled professionals. A data science certification further increases your earning potential.
Here are the data scientist’s average annual salaries across some top countries (Source: Payscale):
India - ₹ 9.78 Lakhs
US - $100,588
The pay scale may vary based on the work location, the candidate’s experience, and the increasing demand for data science professionals.