Our Analytics Courses Duration and Fees

Analytics Courses typically range from a few weeks to several months, with fees varying based on program and institution

Program NameDurationFees
Post Graduate Program in Data Science

Cohort Starts: 28 May, 2024

11 Months$ 4,199
Caltech Post Graduate Program in Data Science

Cohort Starts: 29 May, 2024

11 Months$ 4,500
Post Graduate Program in Business Analysis

Cohort Starts: 30 May, 2024

6 Months$ 3,499
Data Analytics Bootcamp

Cohort Starts: 11 Jun, 2024

6 Months$ 8,500

Need help finding your Program

Fill out this form and we will get back to you

Analytics Course Learner's Reviews

  • Carlos Fuad Abi Ganem

    Carlos Fuad Abi Ganem

    Managing Consultant

    The training sessions were engaging. The instructor explained complex concepts clearly, concisely and in an organized structure. I am looking forward to the rest of the course!

  • Robert Briggs

    Robert Briggs

    Planning and Economic Development Director

    I had great training sessions with a skilled instructor who covered concepts thoroughly and effectively. He presented complex concepts very clearly and provided ample practice time.

  • Brad Vincent

    Brad Vincent

    Product/Business Analyst

    This is an excellent course, and the instructor is highly experienced and knowledgeable. I am happy with the course material and feel more comfortable with Tableau now.

  • Gregory Dennis

    Gregory Dennis

    Operations Manager

    The instructor's training and delivery approach is commendable. He makes stats easier to understand.

  • Ron Moore

    Ron Moore

    The instructor was clear, and I had a great learning experience. The training sessions were engaging, and insightful questions were asked. I liked the course curriculum. Thank you.

  • Gordana Vujec

    Gordana Vujec

    Business Analyst

    Simplilearn has been a great pathfinder for me. It gave me great insight, knowledge, and guidelines about Business Analysis with a well-formulated course structure and interactive instructors. I was able to grab a new job after the course. So, I would highly recommend Simplilearn to everyone.

  • Carlos Linare

    Carlos Linare

    Assistant Professor

    After six months of weekend classes, I finally got my Business Analysis Certificate from Purdue University. Thank you to all the instructors at Simplilearn for sharing their knowledge.

  • Merid Belayneh

    Merid Belayneh

    Postdoctoral Researcher

    I had a wonderful learning experience. The lectures were great and engaging. I am now looking forward to getting opportunities in the data science field.

  • Olu Adeyinka MSc

    Olu Adeyinka MSc

    Senior Business System Analyst

    The faculty has excellent knowledge about the subject, and his ability to teach is very inspiring. The course content is comprehensive and updated.

  • Thomas McManus

    Thomas McManus

    Information Systems Engineer

    The instructor is exceptionally knowledgeable. Capstone nicely wraps up what we've been trained in the previous seven courses, and I feel more comfortable handling data analysis now. I look forward to bringing my newly obtained data scientist skillset to my job.

  • Hansil Sago.

    Hansil Sago.

    The material is exciting and structured. The animation in the lectures is very helpful and useful. The lecture notes are also outstanding. The way of explaining things is also great. The instructor is just excellent in everything.

  • Magdalena Szarafin

    Magdalena Szarafin

    Manager Group Accounting & Data Analytics

    My decision to upskill myself in data science from Simplilearn was a great choice. After completing my course, I was assigned many new projects to work on in my desired field of Data Analytics.

  • Vy Tran

    Vy Tran

    I was keenly looking for a change in my domain from business consultancy to IT(Business Analytics). This Post Graduate Program in Business Analysis course helped me achieve the same. I am proficient in business analysis now and am looking for job profiles that suit my skill set.

  • Rany Nasr

    Rany Nasr

    I am proud to have completed PGP in Business Analysis from Simplilearn in partnership with Purdue University. It was a challenging but fantastic journey! Thank you to my instructors, Vaibhav Pandey and Ritesh Bisht, for an enriching learning experience.

  • Allan Collier

    Allan Collier

    Database Analyst

    I am delighted to share that I have completed Post Graduate Program in Business Analysis with Simplilearn and Purdue University. It was an incredible learning experience, and I am indebted to both simplilearn and Purdue University for providing the opportunity to upskill.


FAQs On Analytics Courses

  • What are analytics courses?

    Analytics courses take learners on the journey of analyzing raw data and extracting meaningful and actionable data insights. By taking analytics courses, learners can gain a solid foundation, learn effective data analysis techniques, and acquire the necessary skills for a successful career.

    In analytics courses, learners enjoy hands-on experience and come across statistical and analytics tools, learning about data patterns and the techniques of analyzing data to draw insights and make data-based decisions. Analytics is essential in business, data science, and many other fields. And anyone attending an analytics course can prepare to establish a career in the respective fields and build portfolio projects.

  • What are the different types of analytics?

    There are generally four distinct categories of analytics, and they are recognized as follows:

    • Predictive Analysis

    • Descriptive Analysis

    • Prescriptive Analysis

    • Diagnostic Analysis

  • What are the top analytics courses to attend?

  • Is analytics considered a good career path?

    Yes, choosing analytics as a career path is indeed a good choice. A learner skilled in analytics can enjoy careers in some of the fastest-growing fields with hefty demands for professionals. This can be data science, business analytics, business intelligence, and data analytics. The demand for data analysts is also massive. As stated by the US Bureau of Labor Statistics, the demand for data analysts is expected to increase much faster than before, at 23%. This is, in fact, good news for those willing to establish a career in this industry.

  • How can you become an analyst?

    To become an analyst, learners must acquire the knowledge and skills desired in a professional. Other than attending an analytics course, one must:

    • Develop An In-Depth Understanding Of The World Of Analytics And Find Out The Purpose Of An Analyst

    • Build Mandatory Technical Skills

    • Data Analysis Skills

    • System Analysis

    • Basic Understanding Of Programming 

    • Master In Coding, Such As Learning Python Or R Programming Languages

    • Get Familiar With Data Visualization Tools

    • Solve Real-World Projects

    • Work With Analytics Tools 

    • Build A Job Portfolio

    • Financial Analysis 

    • Take Informed Decisions Based On Analysis Reports 

    • Get Familiar With The Advanced Concepts Of Analytics

    • Analyze Data And Deal With Raw Data

    • Master Marketing Analytics

    • Google Analytics Skills And How To Use Google Ads As A Marketing Tool  

    • Track Website Traffic For Businesses And Understand User Behavior 

    • Develop Communication Skills 

  • How much time does it take to become an analyst?

    It usually depends from person to person how much time is required to become an analyst. If learners have acquired a degree that supports their career as a data analyst, then a short professional certificate course ranging between four months to one year can fully prepare them for the professional world. Analytics can be a complex field for beginners, so learners can train at their own pace and build the required skills. 

  • What qualifications do you require to become an analyst?

    To proceed with a professional career, learners must hold a bachelor's degree in computer science, statistics, or mathematics. And along with that, they must obtain a diploma or a post-graduate diploma or any other similar course in analytics to prove that they have enough knowledge about the field. An analytics course can be of different types, focusing on business analytics, data analysis, or data science. These programs can help understand the field and the crucial role of an analyst.

  • What skills do you need to become an analyst?

    An analyst is a skilled professional with sound knowledge and an eye for detail. These professionals get hired for their exceptional skills. Companies, while hiring, usually look for these list of in-demand skills that are necessary to become an analyst:

    • Skills Analyze Data And Function With Raw Data

    • Data Management Skills

    • Machine Learning Skills

    • Search Engine Optimization Skills

    • Programming Skills 

    • Familiarity With Google Data Studio And Other Google Products Used In Analytics

    • Building Marketing Strategy

    • Building Website Traffic

    • Statistical Analysis

    • Working With Data Visualization Tools

    • Artificial Intelligence Skills

    • Matlab And SQL Skills 

    • Work With Google Analytics Reports 

    • Working With Marketing Analytics Tools

    • Working With Google Sheets And Guided Projects 

    • Calculus And Linear Algebra Skills 

    • Interpretive Skills

    • Communication Skills

    • Digital Marketing Skills

    • Critical Thinking

    • Problem-Solving Skills

  • What is the salary of an analyst?

    Analysts are highly paid professionals and enjoy lucrative careers with lots of scopes. Data analysts demonstrate a huge demand worldwide and have an average pay scale of $65,112

    In contrast, according to the U.S. News And World Reports, financial analysts have an average annual salary of $81,730. 

    Business analysts also have equally higher pay and, on average get paid around $76,559.  

  • What does a data analyst do?

    The primary job of a data analyst is to interpret data sets and analyze them to help businesses make important data-based decisions. A data analyst collects, cleans, organizes, interprets, stores, and processes data to bring growth to an organization.

    The analyst is responsible for maintaining databases and data systems and, most importantly, translating data into useful information that can be incorporated into business decisions for progression. With a data analyst, it is possible to solve complex data-related problems in an organization, raise more revenue, track competitors, and make better decisions. 

  • Is it mandatory to master coding skills to become an analytics professional?

    For analysts, technical skills are one of the core skills, but not all analyst jobs require coding. There are many advantages to learning coding but some analyst jobs do not rely on them. For instance, positions like business analyst, digital marketing expert, or project manager, do not necessitate coding skills despite encompassing analytical responsibilities. 

  • What are the career scopes after attending an analytics course?

    After completing analytics courses, there are huge scopes for building careers and choosing some of the best positions. Learners can fill up these positions in the best companies:

    • Data Analyst

    • Analytics Manager

    • Senior Analyst

    • Chief Data Officer (CDO)

    • Business Analyst

    • Financial Analyst

    • Data Scientist

    • Research Marketers 

    • Big Data Manager

    • Data Engineer

    • Business Intelligence Manager

    • Data Architect

    • Product Managers

    • System Analyst

    • Machine Learning Analyst

    • Financial Analyst

    • Director of Analytics

  • Is it difficult to become an analytics professional?

    It is relatively easy to become an analytics professional if learners have a computer science, statistics, machine learning, artificial intelligence, or mathematics degree. If they can acquire in-depth knowledge and necessary skills through professional courses, it becomes easier to succeed in this career path. 

    Analysts rely on tools, techniques, and skills; anyone who can master that will get more value from industry experts.  

  • Is Python mandatory for becoming an analyst?

    Not all analytics roles require Python, but coding skills are a plus for those willing to grow in the field of data science. Python is the most commonly used programming language in data science and data analytics. Besides Python, R is another popularly-used programming language in the field of data science; however, python, a more user-readable open-source language, is given more preference. So, if students can master python, they can enhance the technical skills required for analytics positions.

  • Is R a good choice for data analysis?

    R is among the widely-used programming languages in the process of data analysis. Learning R programming can be a good choice if learners wish to skip Python and SQL. Statistics have shown that R provides better data visualizations and more interactive graphical results and is an excellent choice for analyzing unstructured and structured data. 

    This is the reason R is one of the most-preferred coding languages in data analysis. R is also considered one of the key programming languages among data scientists for its statistical accuracy. 

    Anyone planning to work with data analysis or explore the field of data analytics can get major benefits from mastering R and using it as a skill for analyzing data for businesses. 

  • Which is a better option to learn for becoming an analyst, Python or SQL?

    When it comes to becoming analysts, both Python and SQL have their advantages. SQL is often considered the easier coding language in data science, while Python is renowned as the ultimate tool for its high efficiency, user-readability, and open-source nature. Python's flexibility in data extraction makes it a preferred choice, and its user-friendly interface makes it accessible for beginners. With their widespread adoption and efficient results, Python and SQL have emerged as popular languages for analysts.

Recommended Resources

Free Masterclass

Free Online Courses


Articles & Tutorials

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.