Data Analyst Course
Course Overview
Embark on a data-driven journey and kickstart your career with our accelerated Data Analyst Bootcamp, delivered by Simplilearn in collaboration with IBM. This comprehensive course equips you with essential data interpretation, visualisation, and analytics skills. Gain hands-on experience with tools like SQL, R, and Python, and master techniques such as descriptive and inferential statistics, hypothesis testing, and predictive analytics. With expert-led training and practical applications, you'll be prepared to excel in the dynamic field of data analytics and gain a competitive edge in your career.
What you will learn
By the end of this Data Analyst course, you will:
- Grasp key statistical concepts like measures of central tendency, dispersion, correlation, and regression.
- Master SQL fundamentals and SQL commands.
- Write your first Python program covering variables, strings, functions, loops, and conditions.
- Work with Python structures such as lists, sets, and dictionaries, and understand objects and classes.
- Handle data in Python using Pandas, including file operations and data manipulation.
- Apply data analytics in Python with NumPy, SciPy, and Scikit-Learn for machine learning.
- Utilise Python libraries for data visualisation, including Matplotlib, Seaborn, and Folium.
- Learn R programming basics and script writing.
- Understand linear and non-linear regression models and classification techniques.
- Explore clustering methods like K-means and hierarchical clustering.
- Gain foundational knowledge in business analytics with Excel and visualisation tools like Power BI.
- Become proficient in Tableau, including creating interactive dashboards and using advanced visualisation techniques.
Tools covered
- Microsoft Excel
- MySQL
- NumPy
- Pandas
- PowerBI
- Python
- R
- SciPy
- Tableau
Interpersonal skills you will learn along the way:
- Analytical thinking
- Communication skills
- Data-driven decision making
- Critical thinking skills
Course Modules
Be a data analyst expert by deep-diving into the fundamentals of data analytics over seven courses. This Data Analyst Online Bootcamp course is a highly comprehensive course that, upon completion, showcases your rich understanding and industry-related training in the data analytics field.
Throughout this course, you will learn applied knowledge and hands-on skills by working on various simulations, real-world projects, and case studies. The content details for this online course are summarised below.
Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.
- Lesson 01: Course Introduction
- Lesson 02: Introduction to Business Analytics
- Lesson 03: Data Cleaning and Preparation
- Lesson 04: Formatting, Conditional Formatting, and Important Functions
- Lesson 05: Spotlight
- Lesson 06: Analysing Data with Pivot Tables
- Lesson 07: Dashboarding
- Lesson 08: Business Analytics with Excel
- Lesson 09: Spotlight
- Lesson 10: Data Analysis Using Statistics
- Lesson 11: Using Macros for Analytics
- Lesson 12: Spotlight
Course delivery format: online learning + live virtual classes
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.
- Lesson 01: Course Introduction
- Lesson 02: Introduction to SQL
- Lesson 03: Database Normalization and Entity Relationship (ER) Model
- Lesson 04: MySQL - Installation and SetUp
- Lesson 05: Working with Database and Tables
- Lesson 06: Working with Operators Constraints and Data Types
- Lesson 07: Functions in SQL
- Lesson 08: Subqueries, Operators, and Derived Tables in SQL
- Lesson 09: Windows Functions in SQL
- Lesson 10: Working with Views
- Lesson 11: Stored Procedures and Triggers in SQL
- Lesson 12: Performance Optimization and Best Practices in SQL
Course delivery format: online learning only
Learn how to perform data analysis with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using Scikit-learn. You will utilise the basics of Python to explore and analyse many different types of data. Learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualisations, predict future trends from data, and more.
Section 1:
- Lesson 1: Learning Objective
- Lesson 2: Introduction
- Lesson 3: Data Wrangling
- Lesson 4: Exploratory Data Analysis
- Lesson 5: Model Development
- Lesson 6: Model Evaluation
Section 2:
- Lesson 1: Course Introduction
- Lesson 2: Introduction to Programming
- Lesson 3: Programming Environment Setup
- Lesson 4: OOPs Concept with Python
- Lesson 5: Programming Fundamentals of Python
- Lesson 6: File handling, Exception handling, and Package handling
- Lesson 7: Data Analytics Overview
- Lesson 8: Statistical Computing
- Lesson 9: Mathematical Computing using NumPy
- Lesson 10: Data Manipulation with Pandas
- Lesson 11: Data visualisation with Python
- Lesson 12: Introduction to Model Building
Section 3:
- Practice Projects
Course delivery format: online learning + live virtual classes
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
- Lesson 1: R Programming for Data Science
Course delivery format: online learning only
The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations that are adopting the power of analytics for competitive advantage.
- Lesson 01: Course Introduction
- Lesson 02: Introduction to Data Analytics
- Lesson 03: Introduction to R Programming
- Lesson 04: Programming Fundamentals of R
- Lesson 05: Data Manipulation Using R
- Lesson 06: Data Visualization in R
- Lesson 07: Hypothesis Testing
- Lesson 08: Introduction to Machine Learning
- Lesson 09: Classification
- Lesson 10: Clustering
- Lesson 11: Association Mining
Course delivery format: online learning only
This Tableau certification course helps you master Tableau Desktop, a world-wide utilised data visualisation, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. A skill in Tableau is highly regarded by companies for data-related jobs and this course prepares you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and analysing outliers.
- Lesson 1: Course Introduction
- Lesson 2: Introduction to Data Visualization and Tableau
- Lesson 3: Connecting to Various Data Sources and Preparing Data
- Lesson 4: Working with Metadata
- Lesson 5: Spotlight One
- Lesson 6: Filters in Tableau
- Lesson 7: Structuring Data in Tableau
- Lesson 8: Creating Charts and Graphs
- Lesson 9: Spotlight Two
- Lesson 10: Calculations in Tableau
- Lesson 11: Advanced Visual Analytics
- Lesson 12: Dashboards and Stories
- Lesson 13: Spotlight Three
Course delivery format: online learning only
Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers
- Lesson 1: Introduction
Course delivery format: online learning only
Optional electives are available as part of this Data Analyst Online Bootcamp Program.
These are not mandatory to complete, but are available as additional courses to study if you are interested in expanding your knowledge and further implementing your skills.
- Elective 1 - PL-300 Microsoft Power BI Certification Training
- Elective 2 - Industry Master Class – Data Analytics
Payment Options
Course projects
This Data Analyst Bootcamp training includes industry-relevant projects from various industries to help you master the concepts of data analysis. Below are the details on the projects you will be working on:
Help Google Build A Model to Predict Visibility of Apps
Build A Solution To Improve Customer Satisfaction with Comcast
Transform the College Admission Process for Education Departments
Build Data Models to Generate Best Restaurant Recommendations
Show off your achievements
Earn your Data Analyst 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 analyst professional.
Differentiate Yourself
Set yourself apart from the competition with the Data Analyst online course certificate. This is your ticket to getting your foot through the door and proof that you have applied data analytics 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 Analyst Bootcamp certification on LinkedIn, Twitter, and Facebook. Add it to your CV to stand out and showcase it to your employers.
Data Analyst Course Course advisor
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - Advertisement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of several leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned IoT, Big Data and Data Science events.
How can I assess my readiness for a Data Analyst course?
Start by evaluating your comfort level with basic statistics, Microsoft Excel, and data visualisation tools like Tableau or Power BI. If you have a keen interest in data-driven decision-making and are comfortable working with numbers, you're likely ready to enrol. Familiarity with basic data concepts, such as data types and databases, can also boost your readiness.
How does a Data Analyst course compare to a traditional degree in data analytics?
A Data Analyst course is typically shorter, focusing on practical skills like data cleaning, analysis, and visualisation, with hands-on training to make you job-ready quickly. In contrast, a traditional degree offers broader theoretical knowledge, covering advanced topics like statistical modelling, machine learning, and research methods, making it ideal for deeper academic exploration or advanced analytical roles.
How can this course help me advance my current career?
The course equips you with essential skills like data interpretation, pattern recognition, and informed decision-making, which are valuable across roles. By applying these skills to improve processes, enhance reporting, and drive strategic decisions, you can position yourself for promotions or transition into more data-centric roles within your current organisation.
What industries typically hire Data Analysts?
Data Analysts are in demand across a wide range of industries, including finance, healthcare, marketing, e-commerce, government, and tech. The versatility of data analysis skills allows you to work in various sectors, helping organisations make data-driven decisions, identify trends, and improve efficiency.
Will I have the same instructor throughout the course?
Yes, most data analyst courses ensure continuity by assigning the same instructor for the entire duration. This consistency allows for a better learning experience, as the instructor becomes familiar with your progress, provides tailored feedback, and offers ongoing support.
How often do classes meet, and what is the duration of each class?
Class schedules vary based on the course structure, but most courses offer regular sessions, either weekly or bi-weekly, ranging from 1-2 hours each. You can often choose between part-time or full-time options, depending on your availability, making it easier to balance the course with work or personal commitments.
Are there breaks or time off during the course?
Yes, many courses provide breaks between modules to allow time for review, assignment completion, or personal commitments. These breaks help prevent burnout and give you the opportunity to consolidate your learning before progressing to more advanced topics.
FAQs
An Online Bootcamp is an intensive and accelerated learning program made up of a collection of self-paced eLearning components and live online classes that students are required to attend.
The Online Bootcamp program curriculum contain a combination of specifically chosen courses and career-critical skills that are aligned to a job role.
A Short Course on the other hand are shorter courses that is designed to target developing a specific skillset or topic. They generally are much quicker to complete than Bootcamp Programs.
Upskilled's online Data Analyst Bootcamp course delivered by Simplilearn takes about 5-7 months to complete. With dedicated amount of hours per week, one can definitely finish the course within months. Each online course is different in terms of course content or curriculum. We recommend you engage in your own research to determine which course aligns closely with your career goals and lifestyle. We're always here to help so feel free to speak to one of our Education Consultants to find out what's best for you.
Learners wishing to succeed in this Data Analyst certification training should have a basic knowledge of mathematics.
Data Analysts have been prized as one of the most in demand tech jobs in the IT industry. A career as a Data Analyst has very high salary prospects as well as excellent career advancement opportunities.
There are growing career prospects after a student finishes an onlnie Data Analyst Bootcamp course. They can work in various roles such as Data Analyst, Business Analyst, Data Architects, Data Engineers and Data Analytics Consultant.
A Data Analyst is the central person whose main responsbility is to inspect, cleanse, transform and model data with the purpose of discovering useful information in order to support data-driven decisions, to achieve business goals. There are various data analysis methods and tools used to extract useful data and translate them into insights to make better and smarter business decisions, most of which are covered in this Data Analytics Bootcamp Course.
As organisations collect and interpret large amounts of data, they implement various data analysis concepts and algorithms to build predictive data models. If you're interested in stepping into the world of data, this Data Analyst Bootcamp course can help you learn and apply all of these concepts from scratch.
The World Economic Forum estimates that by 2025, data analysts will be one of the highest in demand jobs on the market. Organisations and companies view data analysts and their data-driven decision making skills as an extremely valuable asset to making impactful business decisions. With data becoming more abundant and accessible in today's business environment, the need for Data Analysts is continuing to grow, leading to huge career growth potential and advancement opportunities. Adding data analytics to your skill set will put you in demand across a range of industries.
As such, an online course in Data Analyst is increasingly valued due to their emphasis on a hands-on focused and immersive learning approach. These days many organisations value skills that are job ready and demonstratable, and online bootcamps courses are an appraised path to achieve this practical experience.
A Data Analyst collects, cleans, and interprets data sets, uncovering trends in order to answer a given question or solve a problem for a business.
A Data Scientist figures out which questions need answers, and then comes up with different approaches to try and solve the problem.
For more information about the differences between these two careers including responsibilities, skills and salaries, read more here.
A Data Analyst collects, cleans, and interprets data sets, uncovering trends in order to answer a question or solve a problem for a business.
A Business Analyst uses data to help business stakeholders understand how changes to processes, products, services and technology can improve operational efficiency and better achieve business goals.
For more information about the differences between these two careers including responsibilities, skills and salaries, read more here.
This is an entry-level program with minimal prerequisites. This data analyst online course is suitable for individuals that are new to the world of data. To enable powerful analysis and supplement learning, students should hold a basic knowledge of mathematics.
Our Upskilled Education Consultants can discuss your background and goals to advise and find out what's best for you.