Data Science Course

Course Overview

This Data Scientist course, delivered by Simplilearn in collaboration with IBM, accelerates your career with real-world training in data science. Offering extensive training on in-demand skills like Python, R, Tableau, and machine learning, you'll gain hands-on exposure to key tools and technologies. Designed by IBM experts, the program includes live masterclasses, practical projects, and an integrated blended learning approach, ensuring you're job-ready as a data scientist.

What you will learn

In this Data Scientist course, you will:

• 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 an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
• Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimise, Statistics, IO, and Weave
• Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages.
• Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
• Learn to analyse data using Tableau and become proficient in building interactive dashboards

Tools Covered

• Matplotlib
• NumPy
• Pandas
• Python
• R
• SciPy
• Seaborn
• Tableau
• TensorFlow

Interpersonal skills you will learn along the way:

• Stakeholder management
• Decision making
• Strong communication Skills
• Analytical thinking

Show off your achievements

Earn your Data Scientist Bootcamp Certification

Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard earned knowledge or skill set.

You will receive individual certificates after each short course. Additionally, upon completion of the entire bootcamp, you will earn a certificate demonstrating your competence and expertise as a data scientist professional.

Differentiate Yourself

Set yourself apart from the competition with the Data Scientist course certificate. This is your ticket to get your foot through the door and proof that you have applied data science knowledge and skills to real-world projects, simulations and case studies, making you job ready.

Share your achievement

You worked for it, you earned it! Share your achievement loud and proud! Talk about your Data Scientist online course certification on LinkedIn, Twitter, Facebook. Add it to your CV to stand out and showcase to your employers.

Data Analyst Course course advisor

Ronald van Loon

Top 10 Big Data and Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events in IoT, Big Data and Data Science.

How do I choose the right data science course for my needs?

To select the right course, identify your career goals and current skill level—whether you’re a beginner looking to understand basic concepts or an experienced professional seeking advanced machine learning techniques. Consider the course’s focus areas, such as data analysis, machine learning, or specific tools like Python or R, to ensure it aligns with your desired career path.

Are data science skills transferable to other fields?

Yes, data science skills like statistical analysis, data visualisation, and programming are highly transferable across various sectors, including finance, healthcare, marketing, and logistics. These skills help in decision-making, predictive modelling, and process optimisation, making them valuable in almost any industry that relies on data-driven insights.

What tools and software will I need to complete a data science course?

You’ll need access to programming languages like Python or R, and tools such as SQL for database management, Jupyter Notebook for coding and experimentation, and data visualisation software like Tableau or Power BI. Some courses might also require cloud-based platforms like Google Cloud or AWS for machine learning projects.

What are the best ways to prepare for a data science course before starting?

Start by familiarising yourself with basic programming skills, particularly in Python or R, as they are widely used in data science. Review foundational statistics concepts, such as probability, regression, and hypothesis testing, and explore basic data visualisation techniques using libraries like Matplotlib or Seaborn to build a strong foundation.

What soft skills are important for a career in data science?

Key soft skills include critical thinking for interpreting complex data patterns, problem-solving for developing data-driven solutions, and effective communication for presenting insights clearly to stakeholders. Adaptability is also crucial, as the field is constantly evolving with new tools and methodologies.

What kind of support can I expect from instructors during the course?

You’ll have access to live sessions, Q&A forums, and one-on-one consultations for personalised guidance. Instructors provide feedback on assignments and projects, helping you understand complex topics and apply concepts to real-world scenarios.

What is the process for obtaining course materials and resources?

Once enrolled, course materials are typically available on an online learning portal, where you’ll have access to lectures, readings, datasets, coding notebooks, and assignments. The portal allows for instant access, making it easy to manage your learning resources throughout the course.