Data analytics, in simple terms, is like using detective skills on data to uncover useful information. It involves collecting data from different sources, like numbers or text, and then cleaning it up to remove mistakes. Next, we look at the data to see if there are any patterns or interesting things hidden in it. Finally, we use this information to make better decisions or solve problems.
Operators, Datatypes & Variables - Strings & Numbers - Conditional Statements & Loops - String Methods & Functions - OOP Concept
Introduction - SQL - Aggregation, Relationships, Join - Normalisation & Advanced SQL - Querying & ACID Properties
Overview - Opportunities and Careers paths - Roles and responsibilities - Data Analytics Case Studies
Fundamentals - Introduction to Power BI - Data Visualization using Power BI
Slicers and Filters - Interactive Visualisations - Creating Paginated Reports - Creating Dashboards
Data Cleaning Techniques - Data Transformation Techniques - Introduction to Power Query - Data Types and Filters in Power Query - Inbuilt Column and Row Transformations - Creating a Query in Power Query - Combining Two Data Sets
Introduction to NumPy and Pandas - Indexing and Slicing NumPy arrays - Indexing and Filtering Pandas data frames and series - Modifying Pandas data frames and Series
Fundamentals of Tableau - Essential Design Principles for Visualization with Tableau - Creating Dashboards and Interactive Reports in Tableau
The teachers here not only help us train, but mould us in such a way that it enables us to face the real world clients with ease. Surely a one-of-a-kind experience!!.
I would highly recommend thi sprogram to anyone who is passionate about Digital Marketing and wants to gain a competitive edge in the job market.
I couldn`t be more pleased with my experience. The faculty were knowledgeable and supportive, and the coursework was challenging yet highly relevant to my field.
At the Culture of Internet Institute, we approach data analysis by providing people the tools they require to collect and analyse data so they can make intelligent choices. Our focus extends beyond technical expertise, fostering collaboration, innovation, and critical thinking.
At the Culture of Internet Institute, Our curriculum covers essential technical proficiencies in programming (Python, R), data visualisation, statistical analysis, data cleaning, and domain knowledge.
"In the field of data analysis, proficiency with essential tools and software is a cornerstone of success. At the Culture of Internet Institute, our comprehensive training equips students with the practical skills to excel. This includes mastering tools such as Excel, SQL for data querying, and programming languages like Python and R for in-depth data analysis.We also emphasise the utilisation of data visualisation platforms like Tableau and Power BI.
Culture of Internet Institute recognizes the value of flexibility in education. Our data analyst courses are readily accessible online. Our online courses feature video lectures, engaging assignments, and interactive exercises. Culture of Internet Institute ensures you receive the best education possible."
While a degree in a related field (such as statistics, mathematics, or computer science) can be beneficial, it's not always mandatory. Many successful data analysts have diverse educational backgrounds. What's more important is your skill set and practical experience.