As rightly said — “A picture is worth a thousand words”. In Data Science, this is worth billion dollar. No one can call oneself as Data Scientist until he/she is good with visualization. Data visualization and dashboard design are both art and science and not as easy to create as they may first appear. One should know about visualisation techniques and more importantly where to use which one. Visualization helps in making story out of data. A lot of organisation (can’t tell the name) has made billions by impressing clients just by Data Visualization. Topics to be covered: • Data Visualization Techniques and their Use • Line chart, Boxplot, Histogram, Scatter plot • Bubble chart, bar chart, Heatmap, world map Above Topics will help one in performing Data Exploratory Analysis. However to build a story from the data, companies use different type of tools like Tableau, PowerBI, Qlikview which helps in creating interactive dashboards and stories. Dashboards make it easy for a company to visualize their data by displaying metrics, graphs, gauges, maps, percentages and comparisons of all the information that is streaming in and out of the company. Let’s look at the dashboarding tool preferred by recruiters, published by Analytics India Magazine: https://miro.medium.com/max/700/1*JOoI2sFCPspHPH0_GBJ-3A.png From above, It is clear that among BI tools, Tableau skills continue to be most in demand, followed by Microsoft Power BI & Qlikview. Annual average salary of tableau developer in india is around ₹510,086 as per PayScale (https://www.payscale.com/research/IN/Job=Data_Analyst/Salary/3a1a9b80/Tableau-Software). I have friends who are earning pretty handsome amount by creating beautiful dashboards with rainbow colors. So, I would personally recommend to learn tableau along with Data Visualization.