14 Best Trending Data Analytics Courses in 2021

14 Best Trending Data Analytics Courses in 2021

Data Analytics is fast becoming an in-demand skill in the corporate world. Irrespective of the industry, data analysts are in high demand.

But, what is Data Analytics? 

Data Analytics is the science of analyzing raw data to make conclusions about that information. 

Since we know the definition, let’s move on to the core part of today’s blog post. In case you are looking to pursue data analytics or become a data analyst, these courses will help you achieve your goal. 

So, without wasting your time, let’s dive right in. 

Presenting you the top 10 data analytics courses- 

  1. R Level 1 – Data Analytics with R  

    If you have an interest in statistical programming and a basic understanding of statistics and data structure, then this is the right course for you.

    This is a beginner-level course and will teach you the basics of R. This is offered by R Tutorials on Udemy. 

    Why should you enrol? 

    • The course will teach you how to create the most common types of graphs using R 
    • You will develop a good knowledge of functions and loops in R. These are must-know programming skills. 
    • You’ll be able to master programming in R to create quantitative tasks.  
    • You will also learn to work with strings 
    • Creating objects and applying family functions are some of the other things you will learn. 

    This is a paid course. 

    “But how good is this course?” 

    Well, this course has a 4.6 rating based on 2000+ reviews. Over 12,000 students have enrolled in this course. 

    That should tell you something.   

  2. IBM Data Analyst Professional Certificate 

    How can you talk about data analytics and not include IBM? IBM is a prominent name in the domain of data analytics.

    IBM is offering a 9-course certification which will make you job-ready after completion. 

    Offered on Coursera, this is a beginner-level certificate course and does not require prior knowledge of programming or statistical skills. 

    This is a paid course. 

    Why should you enrol? 

    • You’ll learn to use spreadsheets and become proficient in performing data analysis tasks like data wrangling and data mining  
    • Gain knowledge of Python and analyze data using its libraries like Pandas and Numpy. 
    • Learn how to create charts and plots in Excel and build dashboards with IBM Cognos Analytics. You’ll also learn to visualize data using Matplotlib. 
    • You’ll also learn to use SQL and Jupyter Notebooks. 

     To equip you with job skills, the program contains hands-on learning assignments which will help you work on real-world projects. 

  3. Excel to MySQL: Analytic techniques for business specialization 

    If learning to turn data into value is on your wishlist, then this course is just the right pick for you.

    No knowledge of any programming language? 

    No problem. This course is for beginners. 

    Offered by Duke University on Coursera, this course will help you formulate data questions, explore and visualize large data sets, and make strategic decisions. 

    Why should you enrol?

    •  You’ll learn how to frame business challenges as data questions. 
    • Become proficient in using Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and derive insights. 
    • You will also learn binary classification, data analysis, business analysis, linear regression, and data visualization. 

    Are you sceptical about this course? 

    Don’t be. 

    Because 42% who took up this course started a new career after taking up this course. 

    That’s not it. 

    50% of the course participants reported an increase in pay and promotion. 

    This is a paid course with a 7-day free trial.  

  4. Complete Data Analyst Bootcamp 

    Boot Camps prepare you for the grind. They not only help you master the basics but also make you job-ready by teaching industry-relevant skills. 

    There can’t be a better data analytics course than this. 

    Offered by Udemy and taught by 365 Careers, this data analyst boot camp is ideal for beginners. Everything will be taught from scratch. 

    Why should you enrol? 

    • You’ll have a bird’s eye view of the data analyst job 
    • Study mathematics to understand Python 
    • Know how to obtain fascinating real-time information from an API from a simple script 
    • Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts 
    • Learn beginner and advanced Python 
    • Learn the basics of NumPy and Pandas and master the advanced stuff 
    • Clean data with Pandas series and DataFrames
    • Grasp data visualization

    All this in one place. The best part is that you learn at your own pace. 

    Rated 4.6, this boot camp course has 25,000 students enrolled and counting. Plus, this is reasonably priced costing just $6.29  

    So, hurry and grab this opportunity. 

  5. Business Analytics Course by Harvard 

    Harvard is a name synonymous with quality world-class education. This is the reason why this course makes it to our list.

    This course is ideal for beginners who want to get started in business analytics. 

    Why should you enrol? 

    • You’ll learn to identify trends, discover outliers, and sum up data sets precisely 
    • Determine relationships between variables 
    • Develop and test hypotheses to take managerial decisions
    • Prepare rational survey questions and infer conclusions from samples of a large population 
    • Evaluate the accuracy of statistics by computing the confidence intervals
    • Conduct single and multiple variable regression analysis using Excel and understand the output 

    This course is 8 weeks long and needs a commitment of at least 5-6 hours. The course costs $1,600.  

  6. Cloudera Data Analyst 

    If taking baby steps in data analytics is your goal, then Cloudera Data Analyst is a top pick.

    It is a four-day Data Analyst Training course that will teach you to apply traditional data analytics and business intelligence skills to big data. This course presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.

    Why should you enrol?

    You’ll learn the following- 

    • How the open-source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
    • Using Apache Hive and Apache Impala to provide SQL access to data
    • Hive and Impala syntax and data formats, including functions and subqueries
    • Create, modify, and delete tables, views, and databases; load data; and store results of queries
    • Create and use partitions and different file formats
    • Combining two or more datasets using JOIN or UNION, as appropriate
    • What analytic and windowing functions are, and how to use them
    • Store and query complex or nested data structures
    • Process and analyze semi-structured and unstructured data
    • Techniques for optimizing Hive and Impala queries
    • Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
    • How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task

    The course costs around $449.40. 

  7. Statistics for Data Analysis using Python 

    Python is an important tool to master if you want to make a good data analyst. Oftentimes, people scour the internet for python courses and don’t find anything good.

    If you are one among them, then this course is just for you. 

    This course is suited to beginners looking to learn Python. 

    Why should you enrol?  

    • You’ll learn Python from the basics. No prior knowledge is required. 
    • Learn the basic statistical concepts and apply them using Python. This course contains a mix of theory and practical. 
    • Study descriptive statistics i.e. learn Mean, Median, Mode, Standard Deviation, Variance, and Interquartile range 
    • Grasp inferential statistics. You’ll study One and Two-sample z, t, chi-square test, F test, ANOVA 
    • Finally, you’ll learn probability distributions like Normal, Binomial, and Poisson 

    This course has a 4.6 rating.  The course will cost you $119.46.

  8. The Complete SQL Bootcamp 

    SQL is a tool you must master if you want to become a data analyst. Ever since database management started playing a crucial role in data analytics, learning SQL has become necessary.

    We present to you a course that is tailor-made for beginners in SQL. 

    Taught by Jose Portilla on Udemy, this course is beginner-friendly. 

    Why should you enrol? 

    • Learn the basics of SQL syntax 
    • Start learning PostgreSQL and PGAdmin, the most popular SQL tools 
    • Analyze data using group functions with GROUP by commands
    • Performing advanced queries using string operations and comparison operations 
    • Learn to use logical operators to add logic flow to your SQL queries 
    • Grasp common SQL JOIN commands 
    • Create tables and databases with constraints on data entries 
    • Learn Python to supplement your SQL skills 

    There’s a 95% off on the course currently. Hurry and grab the offer before it’s gone. 

    This course is truly a gem like its tagline ‘From Zero to Hero’. Grab this course at $119.46. 

  9. Tableau 2020 A-Z: Hands-On Tableau training for data science 

    Data Analytics is incomplete without Tableau. And if you’re looking for a resource to learn Tableau, then this course is the best that you can find.

    This course is for first-timers who are looking to learn Tableau. All you need is to have basic knowledge of computers. 

    Why should you enrol? 

    • Learn to create bar charts, maps, pie charts, and interactive dashboards. 
    • Comprehend types of joins and how they work 
    • You’ll learn to create table calculations, dual-axis charts, create calculated fields in a blend 
    • Work with time-series data and comprehend Aggregation, Granularity, and Level of Detail 
    • Create data hierarchies, area charts, scatter plots, treemaps, and storylines 
    • Allocate geographical roles to data elements and connect Tableau to different datasets. Both Excel and CSV files 
    • Work with Data Blending in Tableau and parameters 
    • Develop calculated fields and data extracts in Tableau 
    • Export results from Tableau into Powerpoint, Word, and other software 
    • Adding filters, quick filters, and actions to dashboards 
    • Learn advanced data preparation 

    If learning Tableau is on your bucket list, then enrol right away. Over 2 lakh students have signed up for this course. 

    So, wait no more and go join by paying $119.46. 

  10. Advanced Insight from Data Training

    The Advanced Insight from Data Training features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. 

    The courses also cover data loading, querying, schema modelling, optimizing performance, query pricing, and data visualization. These hands-on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. 

    You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

    Why should you enrol? 

    Here are the following that you will learn-

    • How the open-source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
    • Using Apache Hive and Apache Impala to provide SQL access to data
    • Hive and Impala syntax and data formats, including functions and subqueries
    • Create, modify, and delete tables, views, and databases; load data; and store results of queries
    • Create and use partitions and different file formats
    • Combining two or more datasets using JOIN or UNION, as appropriate
    • What analytic and windowing functions are, and how to use them
    • Store and query complex or nested data structures
    • Process and analyze semi-structured and unstructured data
    • Techniques for optimizing Hive and Impala queries
    • Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
    • How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task

     It is a 2-day course and costs around $321.

  11. Data Analytics for Lean Six Sigma 

    This is a goldmine for all Lean Six Sigma professionals. If you’re an LSS professional and want to add a Midas touch with data analytics, then this course is for you.

    “But what is Lean Six Sigma?” 

    For starters, Lean Six Sigma is a process improvement methodology designed to eliminate problems, remove waste and inefficiency, and improve working conditions to provide a better response to customers’ needs. 

    Back to the course. 

    This course is for absolute beginners. In this course, you will learn data analytics techniques that will be helpful in an LSS improvement project. 

    Why should you enrol? 

    • Learn to analyze and interpret data gathered from LSS projects 
    • Learn to use Minitab for data analysis 
    • Learn statistics from different examples 
    • Study Kruskal-Wallis test 
    • Grasp Normal, Lognormal, and Weibull distribution 
    • Pareto analysis and selecting CTQs 
    • Probability plot and empirical CDF 

    This course will help you reap rich dividends. 32% of the people who took up this course started a new career while 12% got a hike in salary and promotion. 

    You can pursue this course for free without the certificate. However, the course will cost you $29.39 with the certificate. 

  12. Programming for Data Science with Python by Udacity 

    Udacity is a MOOC platform that offers comprehensive nano degrees. If you are a beginner with no experience in programming, then this course is for you.

    All you need to know is basic computer literacy. 

    This nanodegree will teach you the basics of programming using tools like Python, SQL, command line, and git. 

    Why should you enrol? 

    • Learn SQL fundamentals such as Joins, Aggregations, and Subqueries. It will help you solve complex business problems 
    • You’ll learn python fundamentals like data structures, variables, loops, and functions. As an add on, you’ll also learn to use NumPy and Pandas. 
    • Learn to use version control 

    This nanodegree is created by Udacity in collaboration with Mode. This 3-month course is priced on the higher side. It costs $497.65. 

  13. Big Data & Machine Learning Fundamentals 

    Learning Big Data and Machine learning doesn’t have to be tough with this course. 

    This course will introduce you to Google Cloud’s big data and machine learning functions. You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities. 

    This one-day instructor-led course introduces participants to the big data capabilities of the Google Cloud Platform. 

    Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud Platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on the Google Cloud Platform.

    Why should you enrol?

    If you’re a data analyst, data scientist, and business analyst looking to learn Big Data and Machine Learning Fundamentals, then you should sign up for this. 

    This is a free 8-hour masterclass. 

  14. Google Certified Data Engineer

    Becoming a data-driven engineer is easier than ever before. 

    In this course, you’ll learn data-driven decision making by collecting, transforming, and publishing data. 

    Other things you’ll be learning are to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. 

    Additionally, you also grasp the art of leverage, deploy, and continuously train pre-existing machine learning models.

    Why should you enrol? 

    • Design and build data processing systems on Google Cloud Platform
    • Process batch and streaming data by implementing auto-scaling data pipelines on Cloud Dataflow
    • Enable instant insights from streaming data
    • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
    • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
    • Derive business insights from extremely large datasets using Google BigQuery

    This 4-day course costs $133.75.  

Bottom Line 

Data Analytics is a domain that is growing by leaps and bounds. If you’re good at number crunching and enjoy working with data, then data analytics is the right career for you. 

These are 10 courses for data analytics, mostly for beginners. Go through the list once again and pick any one of your choices. 

It’s Zai Jian for now!

Author's Bio
Agilitics

We strive to provide business professionals with the skills and knowledge necessary to increase work performance and drive greater return on investment for the global customers we support. Agilitics delivers customized technology and management training solutions to large corporations and government agencies around the world.