Lvl.1 -> Business Intelligence (BI) Analyst
Pre-requisite: N/A (This path is suitable for beginners)
Approx. Time Required: 2 months
✅ NEW! Join our Mentorship Program for this Career Path here. 👈
Launch your journey into the world of Business Intelligence (BI) with this essential path designed for beginners, equipping you with the skills to analyze, visualize, and interpret business data. Over two months, you’ll dive into “Tableau 2022 A-Z” to harness the power of Tableau for dynamic data visualization, identifying key business trends and insights. You’ll learn to import raw data, blend it, and create compelling visual narratives to influence decision-making. Parallelly, “Data Visualization with Excel Charts and Graphs” will transform you into an Excel wizard, enabling you to craft engaging and insightful charts from bar to heat maps, essential for any data analyst. Additionally, “Power BI A-Z” will round off your toolkit, offering deep dives into data connection, analysis, and presentation with Power BI, ensuring you can deliver precise and actionable business insights. This path lays a strong foundation in BI, readying you to impact business strategies and operations with data-driven clarity.
1-Tableau A-Z: Hands-on Tableau Training for Data Science
Data visualization is a key aspect of business analysis.
This course will allow you to use Tableau to identify patterns in data such as sales trends, customer buying behavior and production bottlenecks, amongst others.
By the time you’ve completed this course you’ll be able to:
- Take raw data and import it into Tableau
- Analyze, blend and join data within Tableau
- Create revealing, interesting and even beautiful data visualizations
- Present your findings to key decision makers in a clear and effective way
No data analyst can afford to be without Tableau skills these days, as it is one of the most powerful ways to interpret and analyze all forms of business data.
2.Data Visualization with Excel Charts and Graphs
Microsoft Excel is more than just a simple spreadsheet tool.
In the hands of an experienced data analyst, Excel is a powerful resource that can be used to extract valuable business insights by visualizing raw datasets.
This course goes in-depth into the types of graphs and charts you can create, when to use them and how to generate them. You’ll soon be creating dynamic and exciting data visualizations such as:
- Bar and column charts, Histograms & Pareto charts
- Line charts & trend lines, Area charts, Pies & Donuts
- Scatter plots & Bubble charts
- Box & Whisker charts
- Tree Maps & Sunbursts, Waterfall & Funnel charts
- Radar & Stock charts
- Heat maps, 3-D Surface & contour charts
- Choropleths & Geospatial maps
- Custom combo charts & graphs
- Sparklines, Plus, much, much more…
You’ll complete more than 12 workshops that will give you hands-on experience of working with real-life data and how to present it in ways that will maximize business performance.
3. Power BI A-Z: Hands-On Power BI Training For Data Science!
Microsoft Power BI is an important tool for data analysts as it is geared up to provide data visualizations and insights for businesses. On this course you’ll master:
How to connect datasets to Power BI
Data calculations, trend analysis and forecasting
Presenting data visualizations such as histograms and brick charts
Data aggregation to provide incisive summaries
Using granularity to ensure accuracy
By the end of the course you’ll be able to use Power BI to answer complex questions, visualize data clearly and provide decision-makers with exactly the level of information they need to make accurate decisions.
Plus, check out these Live Lab Recordings:
Live Lab Recording #2: Intro to Tableau – Movie Ratings Dataset
Live Lab Recording #12: Visualization Best Practices (Part 1): Sensory Memory
Live Lab Recording #15: Visualization Best Practices (Part 2): Reducing Cognitive Load for Clearer Insights
Live Lab Recording #22: Visualization Best Practices (Part3): Truthful Charts
Live LabRecording #25 : Building a fully interactive dashboard in Tableau
Live Lab Recording #29 : Visualization Best Practices (Part 4): Storytelling
👉 Remember to join the Mentorship Program [here] to grow even faster!