9 Best Data Analytics Courses in 2023

10 Oct 2023
25 min read

Imagine the Indian cricket team turning their game around with a secret weapon: data analysis. They used it to improve strategies, boost performance, and win matches. This isn't just for sports—it's a game-changer in modern businesses too.

Data analysis helps companies make smart decisions. Whether it's figuring out what customers want or making operations smoother, data holds the answers. In our blog, we've put together the best data analytics courses to help you master this skill.

Join us to explore how data analysis is reshaping sports and businesses. Discover why it's essential, and get a sneak peek into the courses that can give you a career edge.

What is Data Analytics Course

A Data Analytics course is a structured learning program designed to teach individuals the skills and techniques needed to analyse and interpret large sets of data. Through this course, participants learn how to collect, clean, transform, and visualise data to uncover valuable insights and make informed decisions. The course covers a range of topics, including programming languages like Python or R, data manipulation, statistical analysis, data visualisation, and more. By the end of the course, students are equipped with the knowledge and tools to effectively analyse data, solve complex problems, and contribute to data-driven decision-making in various industries.

Best Data Analytics Courses

In this article, we have compiled a list of the top 9 best data analytics courses to help you get started.

NxtWave’s Data Analytics Course is a structured learning program that has been meticulously designed to provide you with industry-relevant skills. The curriculum has been developed through a reverse engineering approach, ensuring that you learn only industry relevant skills.

The course places a strong emphasis on hands-on experience by immersing you in real-world projects. Besides, it comes with top-notch trainers,who are alumni of IITs and industry experts from top MNCs. The course also provides excellent placement support, helping you secure rewarding career opportunities in the IT industry.

Curriculum overview

This beginner-friendly course starts with programming fundamentals like Python and Relational Databases which include concepts like Function, Loops, String methods, Aggregation, Normalisation, SQL etc. As you navigate to data analytics specialisation you will start with advanced concepts like Data Visualisation and creating interactive dashboards using Power BI. You will also learn the Data Cleaning and Transformation techniques using Excel and Power Query and dive into Data analytics using Python libraries and Tableau. With the Capstone project and assignments you will put your learnings to practise that help build an impressive portfolio.

Duration: 5 Months

Fees: INR 45,000 (EMI option available). Applicants can also obtain scholarships, available for limited users only.

Skills Required: Beginners level

Mode of Study: Online

Perks: Industry-Ready-Certification, Dedicated Placement Support, Unlimited Interview Opportunities, Higher Salary Negotiation

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and Avail Scholarships up to ₹16,000/-

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2. Google Data Analytics Professional Certificate

This Advanced Data Analytics Professional Certificate by Google enables you to demonstrate your technical proficiency by imparting professional-level training. You earn an employer-recognised certificate and become eligible for in-demand job titles like senior data analyst, junior data scientist, and data science analyst. It's designed for graduates of the Google Data Analytics Certificate or people with equivalent data analytics experience where you expand your knowledge with practical, hands-on projects featuring Jupyter Notebook, Python, and Tableau.

Curriculum overview

This program encompasses over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced data analytics scenarios that are crucial for success in the workplace. The content is highly interactive and exclusively developed by Google employees with a plethora of experience in advanced data analytics and data science. Through a comprehensive structure of videos, assessments, and hands-on labs, you’ll get introduced to advanced data analytics tools and platforms and key technical skills required for an advanced role.

You will learn about platforms and tools like Jupyter Notebook, and Tableau. You will create data visualisations and apply statistical methods to investigate data, build regression and machine learning models to analyse and interpret data, and communicate insights from data analysis to stakeholders.

In addition to expert training and hands-on projects, you'll complete a capstone project that you can share with potential employers to showcase your new skill set.

Duration: 6 months (10 hours/week)

Fees: Monthly subscription at $49/month or $117 for 6 months

Skills Required: Advanced level

Mode of Study: Online

Perks: Professional certification, Financial aid

Course available on Coursera Website.

3. Data Analyst in R

Introducing DataQuest's Data Analytics Course. This meticulously crafted learning program is designed to equip you with industry-relevant skills that matter. The curriculum follows a reverse engineering approach, ensuring you learn only the skills demanded by the industry. Immerse yourself in hands-on experience with real-world projects, guided by exceptional trainers who are IIT alumni and industry experts from top MNCs. Elevate your career prospects with excellent placement support, securing rewarding opportunities in the IT industry.

Curriculum overview

In this beginner-friendly course, you’ll learn the fundamentals of R to perform complex statistical analysis of large datasets. You’ll learn how to use RStudio, applications and tools, tidyverse, data frames, tibbles, operators, expressions, and much more. You will be performing SQL queries and web-scraping to explore and extract data from databases and websites, as well as insightful data visualisation, graphs, plots, and charts to tell stories.

You’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided and in-depth projects involving realistic business scenarios to build your portfolio and show off your data skills. You will also complete a capstone project and certify it with an expert review. All these as proof of work will be eventually presented to the employers.

Duration: 4 months (5 hrs/week)

Fees: Premium subscription starting from $24.50/month

Skills Required: Beginner level

Mode of Study: Online

Perks: Professional certification

Course available on Dataquest Website.

4. Excel Skills for Data Analytics and Visualization Specialisation

Introducing the Excel Skills for Data Analytics and Visualization Specialization, available on Coursera and led by renowned trainers Dr. Prashan S.M. Karunaratne and Nicky Bull. Elevate your data analysis and visualisation prowess through advanced Excel techniques and beginner-level Power BI tools. This intermediate-level program empowers you with comprehensive skills, from data transformation and analysis to crafting interactive dashboards. Discover how to surpass Excel's row limits with automation features, enhancing your work performance and employability.

Curriculum overview

Embark on a transformative journey through this specialisation, where you'll master the art of bringing data to life using advanced Excel functions, creative visualisations, and dynamic automation tools. You will build a versatile toolkit covering data transformation, linkage, and deep analysis. You will gain expertise in various chart types, enabling the crafting of engaging interactive dashboards. You will also explore new dimensions in Excel with PowerPivot, Get and Transform, and DAX, unlocking the potential of an underlying database engine. Break through limitations by surpassing the 1,048,576-row barrier, while automation revolutionises data transformation. Create intricate data models that seamlessly integrate information, opening the gateway to Power Business Intelligence.

Guided by real-world datasets akin to business scenarios, you'll wield robust Excel tools to shape data, engineer impactful visualizations, and compose dashboards and reports that amplify insights. Blaze a trail with a data workflow tailored for automated analysis, ensuring outcomes that are adaptable, reproducible, and poised to make a significant impact.

Duration: 1 month (10 hours/week)

Fees: Monthly subscription at $49/month

Skills Required: Beginners level

Mode of Study: Online

Perks: Professional certification, Financial aid

Course available on Coursera Website.

5. Data Visualisation and Analytics Course

This advanced Excel training is designed to help you become a successful data analyst and is highly recommended for aspirants who are just starting their career in analytics. This power-packed advance Excel course will teach you how to make insightful dashboards, VBA macros, and SQL through a strong focus on case studies to ensure hands-on learning. Once armed with the much-needed skills in this advanced Excel course, you will also learn the powerful data visualisation tool Power BI to present your analysis. One of the best advanced Excel trainings available in Bangalore, Gurgaon, and Delhi NCR, with the flexibility of attending the live online sessions and self-paced video mode as well.

Curriculum overview

The program begins with a building block of analytics that sets the essential foundation of quantitative and basic programming concepts required for candidates from non-technical backgrounds. The program further delves into data manipulation, analytics, and visualisation using Excel-VBA, SQL, and Power BI.

In addition to the multiple case studies used for class sessions, the course also includes assignments and projects for self-study and hands-on skills.

Duration: 120 hours

Fees: Starting at INR 16,000

Skills Required: Advanced level

Mode of Study: Both Online and Offline

Perks: Profile Building, Interview Support, Job Referrals

Course available on AnalytixLabs Website

6. Become a Data Analyst Learning Path

Welcome to a transformative learning experience brought to you by LinkedIn Learning. Immerse yourself in the realm of effective data analysis through this meticulously curated curriculum. This collection of courses has been intricately designed to equip you with indispensable skills for excelling in the realm of data-driven insights. From harnessing the power of Excel for analysis, exploring the capabilities of SQL, and mastering tools like Power BI and Tableau for visualisation to embracing programming languages like R and Python for advanced data wrangling and analysis, this journey is your portal to becoming a proficient data analyst. Get guided through a comprehensive understanding of data manipulation, visualisation, and the intricate art of extracting insights from the world of data.

Curriculum overview

This comprehensive curriculum offers a diverse range of courses to empower learners in their journey towards effective data analysis. Begin with 'Learning Excel: Data Analysis,' where Keith McCormick guides you through harnessing Excel for data insights. Curt Frye's 'Data Fluency: Exploring and Describing Data' follows, unravelling the essentials of data understanding. Barton Poulson's 'Learning Data Analytics: 1 Foundations' provides the groundwork for analytical thinking. Robin Hunt's courses, 'Learning Data Analytics Part 2: Extending and Applying Core Knowledge' and 'Excel Statistics Essential Training: 1,' extend data analysis prowess.

Eddie Davila's 'Predictive Analytics Essential Training: Data Mining' dives into predictive insights using Excel. Keith McCormick returns with 'Power BI Essential Training,' unleashing the capabilities of this analytics tool. Gini von Courter's 'Learning Data Visualisation' imparts skills to communicate insights visually. Explore Tableau with Curt Frye's 'Tableau Essential Training' to elevate data-driven decision-making. Emma Saunders' 'SQL: Data Reporting and Analysis' empowers you to retrieve and manipulate data using SQL. Barton Poulson's 'R Essential Training: Wrangling and Visualising Data' introduces R's power for data manipulation and visualisation.

Closing the curriculum, Miki Tebeka's 'Data Cleaning in Python Essential Training' elevates your data cleaning skills in Python, optimising the analytic workflow. This array of courses culminates in a holistic journey through the realms of data analysis, visualisation, and manipulation, leaving learners well-equipped for impactful data-driven insights.

Duration: 40 hours of content

Fees: $19.9/month (1 month Free-trail available

Skills Required: Beginners level

Mode of Study: Online

Perks: Certificate of completion

Course available on LinkedIn Learning Platform

7. The Complete Data Analyst Bootcamp

Welcome to this Udemy course—an exciting journey into the world of data analysis. Get ready to equip yourself with the essential skills and insights needed to excel in the dynamic field of data analysis. This course is designed to provide you with a comprehensive understanding of the data analyst role and arm you with the tools necessary to thrive in this data-driven era. Embark on a transformative learning experience that will prepare you for success as a proficient data analyst.

Curriculum overview

This comprehensive course offers thorough preparation to excel as a data analyst, equipping you with sought-after skills in Python programming, NumPy, Pandas, and various data-related tasks like collection, cleaning, preprocessing, and visualization. You'll develop a holistic understanding of the data analyst role, covering both beginner and advanced Python alongside foundational mathematics.

The curriculum delves deep into NumPy and Pandas, encompassing the basics as well as advanced techniques, including working with text files, managing data types, and retrieving real-time information through APIs. Hands-on exercises involve cleaning data using Pandas, a detailed absenteeism rate exercise, and an extensive loan data case study to apply NumPy skills. You'll master data visualisation, crafting diverse charts like pie, bar, line, area, histogram, scatter, regression, and combo charts. Real-world coding exercises ensure your job readiness, while engaging with actual data hones your skills further. The curriculum culminates with a capstone project, providing a comprehensive learning journey.

Duration: 21 hours of content

Fees: INR 3199

Skills Required: Beginners level

Mode of Study: Online

Perks: Certificate of Completion, A Community of aspiring data analysts, Access to frequent future updates

Course available on Udemy Website

8. Professional Program in Data Analytics

This professional program in data analytics conducted by NIIT is designed to build core competencies and skills for entry-level job roles. With the Capstone project, learners master skills through real-world assignments. Through this program learners also get equipped with engineering and behavioural competencies. Become a StackRoute Certified Data Analytics Professional and join the acclaimed NIIT-StackRoute alumni network.

Curriculum overview

In this comprehensive curriculum, you'll develop core technical competencies essential for success in the data-driven landscape. You'll learn data analysis and visualisation using Excel, harness the power of SQL for analytics, delve into statistics and data visualisation with Python, and master exploratory data analysis through Tableau. The programming component focuses on honing your Python skills. Beyond technical skills, you'll cultivate a range of professional competencies, including self-directed learning, effective interpersonal communication, client-centric communication, attentive listening, dynamic presentation abilities, seamless teamwork, adaptation to remote work practices and culture, adherence to corporate ethics, and the skill to navigate abstract requirements. This holistic curriculum equips you to excel both technically and professionally in today's dynamic work environments.

Duration: 48 weeks on a part-time study model

Fees: INR 75000 + Taxes

Skills Required: Final Year Graduate in any stream

Mode of Study: Online

Perks: Career Support

Course available on NIIT Website

9. How to Become a Data Analyst Nanodegree

Welcome to a comprehensive curriculum designed to enhance your data analysis skills. This journey consists of three essential segments, equipping you with the expertise needed for data-driven insights. Get ready to master the art of data manipulation, analysis, and visualisation. Embark on this transformative path to becoming a skilled data analyst.

Curriculum overview

In this curriculum, you will embark on a journey that starts with 'Introduction to Data Analysis.' Here, you'll grasp the holistic data analysis process, covering the stages of data wrangling, exploration, analysis, and the crucial art of effectively communicating findings. Through hands-on work in Python, you'll become skilled in using libraries such as NumPy and Pandas to manipulate and manage data, preparing you for the core tasks of a data analyst.

As you progress, the 'Advanced Data Wrangling' segment will deepen your expertise. You'll delve into the comprehensive data wrangling process, which encompasses data gathering, meticulous assessment, and the indispensable task of data cleansing. With a strong focus on Python, you'll learn to wield programming techniques that ensure data is properly structured and ready for detailed analysis.

The final segment, 'Data Visualisation with Matplotlib and Seaborn,' will ignite your ability to translate data into impactful visual narratives. By applying visualisation principles to the data analysis process, you'll explore data from various angles, uncover hidden insights, and construct compelling stories. Employing the power of Matplotlib and Seaborn libraries in Python, you'll develop proficiency in crafting insightful visualisations that enhance your analytical capabilities.

Duration: 3 months (10 hours/week)

Fees: ₹22849/month

Skills Required: Intermediate level

Mode of Study: Online

Perks: Github review, LinkedIn profile optimisation, Student community, Career services

Course available on Udacity Website


In this article, we've unveiled a treasure trove of the best data analytics courses in 2023. These courses offer a gateway to mastering the art of data analysis, from foundational skills to advanced techniques. Whether you're a beginner looking to enter the field or an experienced professional aiming to upskill, these courses cater to various levels of expertise.

From NxtWave's industry-relevant curriculum to Google's specialised training and LinkedIn Learning's comprehensive learning path, each course has its own unique strengths. DataQuest's hands-on approach, Coursera's Excel and data visualisation specialisation, AnalytixLabs' advanced Excel training, Udemy's practical bootcamp, NIIT's professional program, and Udacity's data analyst nanodegree—all offer valuable insights and practical skills.

By immersing yourself in these courses, you're not only learning about data analysis; you're diving into a world of potential career opportunities and personal growth. So, whether you're aiming to decipher data for strategic insights, communicate trends through powerful visualisations, or contribute to data-driven decision-making, these courses are your stepping stones to success in the dynamic realm of data analysis. Let the learning begin, and watch how data analysis reshapes your professional journey.

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