![](https://www.facebook.com/dialog/feed?app_id=1767574003460647&link=undefined&picture=https://storeassets.im-cdn.com/products/54372/decode-your-ideal-career-path-in-data-analytics-151904_image_1600415328.jpg&name=Decode your Ideal career path in Data Analytics&caption=undefined&description=<p>Every time you send a text message on whatsapp, write something on Facebook, post a photo on Instagram, click a link, or buy something online, you’re generating data. And considering there are more than 4.5 billion Internet users in the world and 4.8 billion cell phone users, that’s a massive data!</p><p><br></p><p>Fortunately, as data has multiplied, so has the ability to collect, organize, and analyze it. Data storage is cheaper than ever, processing power is more massive than ever, and tools are more accessible than ever. <span style="color: inherit;">Analytics is all around us- we just need to seize the opportunity to apply Analytics in the world of business.</span></p><p><br></p><p><span style="color: inherit;">Almost every major MNC's and research firms on the planet have understood the far reaching implications of Analytics and have started creating teams to prepare themselves to embed Analytics in their day to day business decision making processes to shape their strategic thinking. Since there is a huge shortage of people skilled in Analytics who can help corporate houses make the most of data, we've often seen professionals in a dilemma on understanding what can be the possible career trajectories in the analytics industry!</span></p><p><br></p><p><span style="color: inherit;">Data analysts need to have a baseline understanding of five core competencies: </span></p><ol><li><span style="color: inherit;">Programming</span></li><li><span style="color: inherit;">Statistics</span></li><li><span style="color: inherit;">Machine learning</span></li><li><span style="color: inherit;">Data wrangling</span></li><li><span style="color: inherit;">Data visualization</span></li></ol><p><br></p><p><span style="color: inherit;">Beyond technical skill, attention to detail and the ability to effectively present results are equally important to be successful as a data analyst.</span></p><p><br></p><p><span style="color: inherit;">This program session will highlight how one can plan and acquire necessary skills to become a desirable data analyst.</span></p>&redirect_uri=http://www.facebook.com)
Every time you send a text message on whatsapp, write something on Facebook, post a photo on Instagram, click a link, or buy something online, you’re generating data. And considering there are more than 4.5 billion Internet users in the world and 4.8 billion cell phone users, that’s a massive data!
Fortunately, as data has multiplied, so has the ability to collect, organize, and analyze it. Data storage is cheaper than ever, processing power is more massive than ever, and tools are more accessible than ever. Analytics is all around us- we just need to seize the opportunity to apply Analytics in the world of business.
Almost every major MNC's and research firms on the planet have understood the far reaching implications of Analytics and have started creating teams to prepare themselves to embed Analytics in their day to day business decision making processes to shape their strategic thinking. Since there is a huge shortage of people skilled in Analytics who can help corporate houses make the most of data, we've often seen professionals in a dilemma on understanding what can be the possible career trajectories in the analytics industry!
Data analysts need to have a baseline understanding of five core competencies:
- Programming
- Statistics
- Machine learning
- Data wrangling
- Data visualization
Beyond technical skill, attention to detail and the ability to effectively present results are equally important to be successful as a data analyst.
This program session will highlight how one can plan and acquire necessary skills to become a desirable data analyst.
