<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap] [/size][size= 10pt; font-family: Arial,sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap]Data Analytics Course in Mumbai[/size][size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap] By working on real-time project scenarios, learners get an insight into the professional application of Data Analytics. In addition to individual examples, students get to work with a whole analytical workflow.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]The steps involved in such a project may include:[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Collection/reception of a dataset.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Data cleaning/preparation.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Identification of business questions.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Exploratory data analysis.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Visualization.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Dashboard development.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Recognition of trends/patterns.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Insight presentation.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Through the above project scenarios, students get to realize that Data Analytics does not only involve the use of various tools. Rather, it is more about questioning, interpreting and communication skills.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Development of Advanced SQL Skills[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]The mastery of SQL skills is very important for many data analytics jobs. Following learning the basics, it will be helpful for students to learn some advanced SQL concepts such as subqueries, CTEs, window functions, complex joins, and query optimization.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]The use of practical datasets will make it easier for students to learn the above concepts. Examples of practical datasets include analysis of sales performance, customer retention, employee details and inventory data among others.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Advanced Power BI & Data Visualization[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Learning about data visualization is also another area where practical skills would be handy. Through practical skills, learners would advance from producing simple visualizations to interactive dashboards with multiple metrics/views.[/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Development of Job-Oriented Analytical Skills[/size]



<p dir="ltr" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;">[size= 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]It is not uncommon for companies to consider skills beyond just knowledge of individual tools. Practical projects will give students an opportunity to create case studies showcasing their approach to the solution of the task and analysis of the raw data.[/size]