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Top Data Analytics Skills and Platforms for 2023 - OpenDataScience

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itemtype="http://data-vocabulary.org/NewsArticle"> <div class="image limited-width text_width"> <img src="https://opendatascience.com/wp-content/uploads/2023/03/DATop.png" class="full-post-thumb" alt="Top Data Analytics Skills and Platforms for 2023"/> <img src="https://opendatascience.com/wp-content/uploads/2023/03/DATop.png" class="mobile-post-thumb" alt="Top Data Analytics Skills and Platforms for 2023"/> <div> <div class="social"> <div class="post-image-sharrre"> <div class="shareme" data-image="https://opendatascience.com/wp-content/uploads/2023/03/DATop.png" data-url="https://opendatascience.com/top-data-analytics-skills-and-platforms-for-2023/" data-text="Top Data Analytics Skills and Platforms for 2023"></div> </div></div> </div> </div> <div class="title"> <h1 id="intro"><a href="https://opendatascience.com/top-data-analytics-skills-and-platforms-for-2023/" class="entry-title" itemprop="headline">Top Data Analytics Skills and Platforms for 2023</a></h1> <p> <a href="https://opendatascience.com/category/careers/" title="Career Insights" class="tag-default">Career Insights</a><a href="https://opendatascience.com/category/modeling/data-analytics/" title="Data Analytics" class="tag-default">Data Analytics</a><a href="https://opendatascience.com/category/featured-post/" title="Featured Post" class="tag-default">Featured Post</a><a href="https://opendatascience.com/tag/data-analysis/" title="Featured Post" class="tag-default">data analysis</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="Featured Post" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >March 14, 2023</span> <i class="fa fa-user"></i><span ><a href="" class="author url fn">ODSC Team</a></span> </span> </p> <div class="tag-cloud tag-title"> <i class="fa fa-tags"></i> <a href="https://opendatascience.com/tag/data-analysis/" title="data analysis" class="tag-1"><span>data analysis</span><s>4</s></a> </div> </div> <span class="item-summary-hidden" itemprop="description">As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of...</span> <img class="item-image-hidden" itemprop="image" src="https://opendatascience.com/wp-content/uploads/2023/03/DATop.png" alt="Top Data Analytics Skills and Platforms for 2023" /> <div class="post" itemprop="articleBody"><div class="at-above-post addthis_tool" data-url="https://opendatascience.com/top-data-analytics-skills-and-platforms-for-2023/"></div><p><span style="font-weight: 400;">As the sibling of data science, </span><a href="https://opendatascience.com/?s=analytics"><b>data analytics</b></a><span style="font-weight: 400;"> is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.</span></p> <h3><strong>Data Analytics Skills</strong></h3> <p><b><a href="https://opendatascience.com/wp-content/uploads/2023/03/DASkills.png" target="_blank" rel="noopener"><img fetchpriority="high" decoding="async" class="aligncenter wp-image-41869 size-full" src="https://opendatascience.com/wp-content/uploads/2023/03/DASkills.png" alt="" width="748" height="460" srcset="https://opendatascience.com/wp-content/uploads/2023/03/DASkills.png 748w, https://opendatascience.com/wp-content/uploads/2023/03/DASkills-300x184.png 300w, https://opendatascience.com/wp-content/uploads/2023/03/DASkills-500x308.png 500w" sizes="(max-width: 748px) 100vw, 748px" /></a></b></p> <p><b>Core Data Analytics Skills:</b><span style="font-weight: 400;"> Data Analysis, Analytics, Dashboards, Statistics, Math, Problem-Solving</span></p> <p><span style="font-weight: 400;">Most people think that data analytics is a mix of Excel and analytics, and that鈥檚 indeed on the money. Excel is the second most sought-after tool in our chart as you鈥檒l see below as it鈥檚 still an industry standard for data management and analytics. Below that we see various analytics supporting skills, such as statistics, dashboards, math, and problem-solving.</span></p> <p><span style="font-weight: 400;">There鈥檚 still a strong demand for the fundamental mathematical skills that contribute to analytics, including statistics, math, business analysis, and quantitative analysis. As you鈥檒l see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is.</span></p> <p><b>Data Presentation: </b><span style="font-weight: 400;">Communication Skills, Data Visualization</span></p> <p><span style="font-weight: 400;">Any good data analyst can go beyond just number crunching. The chart shows a number of presentation-based skills that will make any data analyst stand out. Being able to not just analyze numbers but also share findings with shareholders will cover more ground. Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story.</span></p> <p><b>Data Wrangling: </b><span style="font-weight: 400;">Data Quality, ETL, Databases, Big Data</span></p> <p><span style="font-weight: 400;">The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Data analysts often must go out and find their data, process it, clean it, and get it ready for analysis.聽</span></p> <p><span style="font-weight: 400;">This pushes into Big Data as well, as many companies now have significant amounts of data and large data lakes that need analyzing. While there鈥檚 a need for analyzing smaller datasets on your laptop, expanding into TB+ datasets requires a whole new set of skills and data analytics frameworks.</span></p> <p><a href="https://odsc.com/boston"><img decoding="async" class="aligncenter size-full wp-image-40771" src="https://opendatascience.com/wp-content/uploads/2022/12/EAST_BLOG_SEB_728x90.png" alt="https://odsc.com/boston" width="728" height="90" srcset="https://opendatascience.com/wp-content/uploads/2022/12/EAST_BLOG_SEB_728x90.png 728w, https://opendatascience.com/wp-content/uploads/2022/12/EAST_BLOG_SEB_728x90-300x37.png 300w" sizes="(max-width: 728px) 100vw, 728px" /></a></p> <p><b>Data Science &amp; Machine Learning</b></p> <p><span style="font-weight: 400;">There鈥檚 an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart. While a data analyst isn鈥檛 expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics.</span></p> <p><b>Programming and Data Engineering</b></p> <p><span style="font-weight: 400;">Both programming and data engineering skills made the list to our surprise, as data analysts aren鈥檛 generally developers. However, as you鈥檒l see in the next section on data analytics tools and platforms, there鈥檚 an increasing need for DAs to be able to work with cloud platforms, data storage tools, and the complete modern data stack.</span></p> <p><b>Domain Expertise; Business, Economics</b></p> <p><span style="font-weight: 400;">Employers are looking for people who also know the field they鈥檙e working in, as data works best when the context is known. In particular, economics and business made the cut as they often involve some of the largest amounts of data compared to other industries. While not noted in the chart, we鈥檝e seen a lot of movement in finance and healthcare as industries where data analysts benefit from some domain expertise.</span></p> <h3><strong>Data Analytics Platforms and Tools</strong></h3> <p><a href="https://opendatascience.com/wp-content/uploads/2023/03/DATools.png" target="_blank" rel="noopener"><img decoding="async" class="aligncenter wp-image-41870 size-full" src="https://opendatascience.com/wp-content/uploads/2023/03/DATools.png" alt="" width="649" height="444" srcset="https://opendatascience.com/wp-content/uploads/2023/03/DATools.png 649w, https://opendatascience.com/wp-content/uploads/2023/03/DATools-300x205.png 300w" sizes="(max-width: 649px) 100vw, 649px" /></a></p> <p><span style="font-weight: 400;">The chart above shows a number of data analytics platforms that any aspiring data analyst should know. As you see, there are a number of reporting platforms as expected.</span></p> <p><b>Data Analytics Platforms: </b><span style="font-weight: 400;">Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, SAP, Pandas.</span></p> <p><span style="font-weight: 400;">The most common trend shouldn鈥檛 come as a surprise, as the most in-demand data analytics platforms revolve around reporting, such as Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, and SAP. These are powerful tools that can connect directly to data sources, can run complex analyses, and can output intricate dashboard reports. As a machine learning library, pandas is powerful for data analysis and manipulation, earning it a spot as the only ML library on the list.</span></p> <p><b>Excel</b></p> <p><span style="font-weight: 400;">Excel is still needed, even as the lines between data science and data analytics begin to blur. Despite the sheer amount of new tools and the growing prevalence of big data, Excel still sits near the top. A significant amount of basic data analytics is still done in Excel, so being a spreadsheet guru is still attractive to employers.</span></p> <p><b>The Modern Data Stack: </b><span style="font-weight: 400;">Apache Spark, Google Bigquery, Oracle Database, Microsoft SQL Server, Snowflake</span></p> <p><span style="font-weight: 400;">The modern data stack continues to have a big impact, and data analytics roles are no exception. More companies are looking for data analysts that know how to work with columnar platforms like Snowflake and big data systems such as Redshift, Bigquery, and Apache Spark. Given the importance of SQL, then there should be no surprise that Relational Database Management Systems (RDMS) such as Oracle and聽 Microsoft SQL Server are also listed.</span></p> <p><b>Cloud Services: </b><span style="font-weight: 400;">Google Cloud Platform, AWS, Azure.</span></p> <p><span style="font-weight: 400;">Cloud-based services are the norm in 2022, this leads to a few service providers becoming increasingly popular. However, in this case, when comparing Microsoft Azure, AWS, or Google Cloud Platform, AWS seems to have taken over Azure as the winner since last year.</span></p> <p><b>PowerPoint and Microsoft Office</b></p> <p><span style="font-weight: 400;">No self-respecting data analyst would go anywhere without a presentation deck in PowerPoint. Joking aside, it really does support the fact that making and presenting a good visual presentation remains a core skill. Knowing the entire suite of Microsoft Office tools doesn鈥檛 hurt, either.</span></p> <h3><strong>Data Analytics Languages</strong></h3> <p><a href="https://opendatascience.com/wp-content/uploads/2023/03/DALangs.png" target="_blank" rel="noopener"><img loading="lazy" decoding="async" class="aligncenter wp-image-41868 size-full" src="https://opendatascience.com/wp-content/uploads/2023/03/DALangs.png" alt="" width="508" height="309" srcset="https://opendatascience.com/wp-content/uploads/2023/03/DALangs.png 508w, https://opendatascience.com/wp-content/uploads/2023/03/DALangs-300x182.png 300w" sizes="auto, (max-width: 508px) 100vw, 508px" /></a></p> <p><span style="font-weight: 400;">The debate over the best programming language for data analysis boils down to SQL and Python with R not far behind and Java &amp; VBA almost completely out of sight. SQL has always been the go-to for many to interact with data and to develop dashboards &amp; insights, but Python鈥檚 flexibility and broader use allow someone to analyze as well as clean/organize data as well. SQL excels with big data and statistics, making it important in order to query databases.</span></p> <h3>Get started with data analytics and add it to your skillset at ODSC West 2022</h3> <p><span style="font-weight: 400;">If you鈥檙e looking to add an in-demand, evergreen, and broad-use skill to your repertoire, then maybe it鈥檚 time to learn data analytics or other core data science skills. At ODSC East 2023, we鈥檒l have an entire mini bootcamp track where you can start with core beginner skills and work your way up to more advanced data science skills, such as working with NLP or neural networks. By registering now, you鈥檒l also gain access to Ai+ Training on demand for a year. </span><a href="https://odsc.com/boston/bootcamp/"><b>Sign up now, start learning today</b></a><span style="font-weight: 400;">!</span></p> <p><span style="font-weight: 400;">Between now and May 9th-11th, getting an </span><a href="https://odsc.com/boston/bootcamp/?__hstc=39712252.8eec8d7f5738faf6416f0c6bad9fe9a5.1634042255273.1678730873788.1678746297784.1067&amp;__hssc=39712252.2.1678746297784&amp;__hsfp=3000179024"><span style="font-weight: 400;">ODSC East 2023 bootcamp ticket</span></a><span style="font-weight: 400;"> will grant you access to a number of live training sessions over the next few months that will cover the above five pillars of data science, all leading up to a week of training in May that will let you use your newfound skills for more advanced topics in machine learning, deep learning, NLP, and more. Here are a few sessions that you can check out soon:</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">March 2, 2023: ODSC East Bootcamp Warmup: Data Primer Course</span><b> &#8211; Now available on-demand</b></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">March 14,聽 2023: ODSC East Bootcamp Warmup: SQL Primer Course</span><b> &#8211; Now available on-demand</b></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">April 6, 2023: ODSC East Bootcamp Warmup: Programming Primer Course with Python</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">April 26, 2023: ODSC East Bootcamp Warmup: AI Primer Course</span></li> </ul> <p><span style="font-weight: 400;">And during ODSC East this May 9th-11th, you can check out these bootcamp-exclusive sessions:</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">An Introduction to Data Wrangling with SQL</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Programming with Data: Python and Pandas</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to Machine Learning</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to Math for Data Science</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to Data Visualization</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to Deep Learning with TensorFlow &amp; Keras</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to Deep Learning with PyTorch</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to ML using scikit-learn</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to NLP</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Hugging Face Transformers</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Idiomatic Pandas</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Introduction to Large-scale Analytics with PySpark</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A Practical Tutorial on Building Machine Learning Demos with Gradio</span></li> </ul> <p><span style="font-weight: 400;">What are you waiting for? 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