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Career Path - Marketing Analyst

Demystifying marketing data: A deep-dive into analytics. Learn data-backed marketing strategies and practical skills for successful marketing analysts
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Save 68% Offer ends on 31-Jul-2024
Course Duration: 250 Hours
Preview Career Path - Marketing Analyst course
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Courses included in the Marketing Analyst Career Path Program by Uplatz:

1. Power BI (comprehensive)
2. Power BI
3. Tableau (comprehensive)
4. Tableau
5. SAS Business Intelligence (BI)
6. Data Visualization in Python
7. Data Visualization in R
8. Business Intelligence & Data Analytics
9. Google Analytics
10. Google Analytics 4
11. Digital Marketing & SEO
12. Microsoft Excel
13. Google Sheets

A Marketing Analyst is responsible for collecting, analyzing, and interpreting data related to marketing campaigns, customer behavior, market trends, and competitive analysis. They provide insights that guide marketing strategies, optimize campaigns, and improve overall marketing performance.

Key Responsibilities of a marketing analyst are:
1. Data Collection: Gathering data from various sources, such as websites, social media platforms, customer databases, and market research reports.
2. Data Analysis: Analyzing the collected data to identify trends, patterns, and correlations that can provide insights into customer behavior and preferences.
3. Market Research: Conducting research to understand market trends, competitor strategies, and customer demographics.
4. Performance Tracking: Monitoring the performance of marketing campaigns and initiatives, such as online advertising, email campaigns, and social media efforts.
5. ROI Evaluation: Calculating the return on investment (ROI) for different marketing campaigns and channels to assess their effectiveness.
6. Report Generation: Creating reports and visualizations to communicate findings and recommendations to marketing teams and management.
7. A/B Testing: Designing and analyzing A/B tests to optimize marketing strategies and tactics.
8. Predictive Analysis: Using statistical techniques to predict future market trends and customer behavior.

Skills required by a marketing analyst:
1. Data Analysis: Strong skills in data analysis tools like Excel, Google Analytics, and possibly more advanced tools like Tableau or Power BI.
2. Statistical Knowledge: Familiarity with statistical concepts and techniques to interpret data accurately.
3. Market Research: Understanding of market research methodologies and the ability to gather relevant information.
4. Digital Marketing: Knowledge of various digital marketing channels such as social media, email marketing, search engine optimization (SEO), and pay-per-click (PPC) advertising.
5. Communication: Effective communication skills to present findings and recommendations to both technical and non-technical audiences.
6. Problem-Solving: Ability to identify challenges and opportunities through data analysis and provide actionable insights.
7. Business Acumen: Understanding of the business's goals, target audience, and industry dynamics.
Being a marketing analyst requires a balance of technical skills and business understanding. By effectively utilizing data to inform marketing decisions, you can contribute significantly to the success of marketing campaigns and overall business growth.

Course/Topic 1 - Power BI (comprehensive) - all lectures

  • Lesson 1.1 - Introduction to Power BI - theory

    • 46:46
  • Lesson 1.2 - Introduction to Power BI - practical

    • 19:15
  • Lesson 2.1 - Connecting to a Database - theory

    • 27:14
  • Lesson 2.2 - Connecting to a Database - practical

    • 27:00
  • Lesson 3.1 - Working with Dates - theory

    • 21:36
  • Lesson 3.2 - Working with Dates - practical

    • 23:36
  • Lesson 4.1 - Conditional Columns - theory

    • 12:14
  • Lesson 4.2 - Conditional Columns - practical

    • 19:26
  • Lesson 5.1 - Merge Queries - theory

    • 34:11
  • Lesson 5.2 - Merge Queries - practical

    • 32:28
  • Lesson 6.1 - Creating Calculated Columns - theory

    • 15:39
  • Lesson 6.2 - Creating Calculated Columns - practical

    • 40:58
  • Lesson 7.1 - Creating Calculated Measures - theory

    • 55:41
  • Lesson 7.2 - Creating Calculated Measures - practical

    • 39:54
  • Lesson 8.1 - Creating and Managing Hierarchies - theory

    • 35:19
  • Lesson 8.2 - Creating and Managing Hierarchies - practical

    • 29:52
  • Lesson 9.1 - Manually typing in a Data Table - theory

    • 18:45
  • Lesson 9.2 - Manually typing in a Data Table - practical

    • 14:25
  • Lesson 10.1 - Include and Exclude - theory

    • 19:09
  • Lesson 10.2 - Include and Exclude - practical

    • 13:14
  • Lesson 11.1 - Pie Chart and Tree Map - theory

    • 42:53
  • Lesson 11.2 - Pie Chart and Tree Map - practical

    • 23:16
  • Lesson 12.1 - Filters - theory

    • 27:16
  • Lesson 12.2 - Filters - practical

    • 16:46
  • Lesson 13.1 - Slicers - Date Slicers - theory

    • 51:03
  • Lesson 13.2 - Slicers - Date Slicers - practical

    • 24:54
  • Lesson 13.3 - Slicers - Date Slicers - practical

    • 16:20
  • Lesson 14.1 - Map Visualization - theory

    • 32:34
  • Lesson 14.2 - Map Visualization - practical

    • 29:16
  • Lesson 15.1 - Tables and Matrix - theory

    • 38:47
  • Lesson 15.2 - Tables and Matrix - practical

    • 36:30
  • Lesson 16.1 - Table Styles - theory

    • 08:56
  • Lesson 16.2 - Table Styles - practical

    • 11:40
  • Lesson 17.1 - Waterfall Gauge Card and KPI - theory

    • 38:18
  • Lesson 17.2 - Waterfall Gauge Card and KPI - practical

    • 53:19
  • Lesson 18.1 - Shapes - Text Boxes - Images - theory

    • 12:16
  • Lesson 18.2 - Shapes - Text Boxes - Images - practical

    • 24:54
  • Lesson 19.1 - Page Layout and Formatting - theory

    • 16:31
  • Lesson 19.2 - Page Layout and Formatting - practical

    • 11:03

Course/Topic 2 - Power BI - all lectures

  • Learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations and see how other organizations have used this solution to drive business results with actionable insights.

    • 20:51
  • In this session, with Power BI Desktop, you can build advanced queries, models, and reports that visualize data. You can also build data models, create reports, and share your work by publishing to the Power BI service.

    • 01:57
  • This is the first part of Basic Dashboard in Power BI. In this video you will learn how to create a basic dashboard with simple data points.

    • 23:35
  • In this Video, we will show you how can you install Power PI desktop in PC.

    • 18:05
  • The third part in a series of Microsoft Power BI tutorials for beginners. This tutorial cover Filter’s pane and the Slicers.

    • 30:14
  • In this Part 4, video shows the time slicer feature of Power BI Desktop. Also running some simple statistics using the matrix visualization.

    • 30:09
  • In this Part 5 session you will learn about how to create a simple R script in Power BI desktop using the grid Extra package for displaying data and the dplyr package for data munging.

    • 21:32
  • In this Microsoft Power BI video, you will learn how to represent the data in a Map using Power BI. For this purpose, a data that contains the columns such as a State, Province, Country, City, ZIP Code/Postal Code, etc. must be present in the database

    • 33:52
  • In this video you can explore, what is Star Schema, why it is important in Power BI, Among the most basic design skills in designing a data warehouse solution is the star schema design.

    • 09:10
  • In this Power BI Tutorial, you will look at how to use Power Query in Power BI Desktop to merge different queries and join kind. This Microsoft Power BI tutorial for beginners is aimed at new Power BI users.

    • 07:49
  • In this video we will go through the basics of data modelling in Power BI, to get you started fast and easy.

    • 01:52
  • In this video, learn how to use relationship’s view, what other views exist in Power BI Desktop and why it's important to use them.

    • 10:39
  • This video explains the importance of cross filter direction in Microsoft Power BI. It discusses how the single or bi-directional filter affects the data in the report.

    • 12:44
  • In this video you will see details about m language and dax language.

    • 16:22
  • In this video you will learn how to create two interactive Power BI dashboards, plus a decomposition tree using the free Power BI tools.

    • 26:35
  • In this video, we will show you how you can use a parameter, within a Power BI report, to dynamically change the data in a report.

    • 15:46

Course/Topic 3 - Tableau (comprehensive) - all lectures

  • In this session you will learn about the Business intelligence (BI) which combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions

    • 17:31
  • In this session we will introduce you about Tableau which is a widely used business intelligence (BI) and analytics software trusted by companies like Amazon, Experian, and Unilever to explore, visualize, and securely share data in the form of Workbooks and Dashboards. With its user-friendly drag-and-drop functionality it can be used by everyone to quickly clean, analyze, and visualize your team’s data.

    • 33:45
  • This session is all about the history of Tableau which was founded by Pat Hanrahan, Christian Chabot, and Chris Stolte from Stanford University in 2003. The main idea behind its creation is to make the database industry interactive and comprehensive.

    • 21:38
  • In this tutorial, we will discuss the Tableau interface and understand its functioning in detail. Followed by the general understanding of Tableau’s working. Along with this, we will learn the Components of Tableau Server.

    • 34:10
  • In this session, you will get to know how to use Tableau Prep Builder to clean and prepare your data, start a new flow by connecting to your data, just like in Tableau Desktop. You can also open an existing flow and pick up where you left off.

    • 43:54
  • In this video, once you have chosen the best Tableau product for you, it is time to start finding insights in your data! Much like Tableau’s suite of products, data connections come in many shapes and sizes. As of this writing, Tableau Desktop: Personal has four different types of data connections, and Tableau Desktop.

    • 33:13
  • This session teaches you about the Data blending which is a method for combining data from multiple sources. Data blending brings in additional information from a secondary data source and displays it with data from the primary data source directly in the view.

    • 30:50
  • If you are connected to a data source that has been modified, you can immediately update Tableau Desktop with the changes by selecting a data source on the Data menu and then selecting Refresh.

    • 41:22
  • In this Tableau tutorial, we are going to study about what is sorting in Tableau. We will also discuss how to use Quick Sort in Tableau. At last, we will see why is my king broken and combined filed. Tableau sort is the process of arranging or ordering the data in Ascending Order or Descending Order.

    • 19:38
  • In this video, we will show you How to perform sorting in Tableau reports with example. For this Tableau sort demo, we are going to use the report we created in our previous article.

    • 13:43
  • In this tutorial, we will show you How to perform grouping in Tableau reports with example. For this Tableau Grouping demo, we are going to use the report we created in our previous article. Tableau Grouping is the process of merging or combining two or more values for further analysis.

    • 12:18
  • In this video, we will show you How to perform grouping in Tableau reports with example? For this Tableau Grouping demo, we are going to use the report we created in our previous video.

    • 24:55
  • In this video, we will show you how to create Tableau Set, Constant Sets, and Computed Sets. First, Drag and Drop the State Name from Dimension Region to Rows Shelf and Profit from Measures region to Columns Shelf.

    • 26:50
  • In addition to a Set Action, you can also allow users to change the membership of a set by using a filter-like interface known as a Set Control, which makes it easy for you to designate inputs into calculations that drive interactive analysis. For details, see Show a set control in the video.

    • 38:06
  • In this session you begin filtering data in Tableau, it's important to understand the order in which Tableau executes filters in your workbook. Filtering is an essential part of analyzing data. This article describes the many ways you can filter data from your view. It also describes how you can display interactive filters in the view, and format filters in the view.

    • 26:07
  • In this video you will get to know about filtering which is an essential part of analyzing data. This article describes the many ways you can filter data from your view. It also describes how you can display interactive filters in the view, and format filters in the view.

    • 20:49
  • In this tutorial, we will learn about another interesting and useful feature of Tableau that is Tableau parameters. Here, we will try and gain a good understanding of the parameters in Tableau and their use in Tableau. We will start by discussing the definition of parameters followed by learning how to create parameters and use them in Tableau.

    • 31:36
  • In this session you will understand how to use parameter actions to let your audience change a parameter value through direct interaction with a viz, such as clicking or selecting a mark. You can use parameter actions with reference lines, calculations, filters, and SQL queries, and to customize how you display data in your visualizations.

    • 24:43
  • In this Tableau tutorial, we will study What is Tableau Reference Lines, functions of Reference lines in Tableau and the steps involved in creating / Adding reference lines to the Tableau Bar Chart. At last, we will how to create reference lines in Tableau with example. So, let us start Tableau Reference Lines.

    • 20:42
  • In the tutorial you will get to know how to show trend lines in a visualization to highlight trends in your data. You can publish a view that contains trend lines, and you add trend lines to a view as you edit it on the web. When you add trend lines to a view, you can specify how you want them to look and behave.

    • 25:39
  • In this Tableau tutorial, you will learn about the story which is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.

    • 23:15
  • In this session you will understand how to Use stories to make your case more compelling by showing how facts are connected, and how decisions relate to outcomes. You can then publish your story to the web or present it to an audience. Each story point can be based on a different view or dashboard, or the entire story can be based on the same visualization seen at different stages, with different filters and annotations.

    • 41:34
  • In this video, we will show you, How to Format Tableau Dashboard Layout with an example. For this, we are going to use the below-shown dashboard. Once you created your dashboard (added required Sheets), you can use the layout tab to format those Sheets or Items as per your requirements.

    • 23:52
  • Tableau Layout Containers control the spacing between dashboard components. They allow you to format common elements and move multiple dashboard objects at the same time. 

    • 36:38
  • In our last Tableau tutorial, we discuss How to Format Tableau Dashboard Layout. Here, in this tutorial, we are going to learn about How to Tableau Interactive Dashboard with Data Granularity, Interactivity, and Intuitiveness in Tableau. In other word or in general words we can call this playing with maps in a tableau. so, let us start with How to Create Tableau Interactive Dashboard.

    • 29:40
  • This tutorial walks you through some of the most common tasks you might perform when creating maps in Tableau. You’ll learn how to connect to and join geographic data; format that data in Tableau; create location hierarchies; build and present a basic map view; and apply key mapping features along the way. If you're new to building maps in Tableau, this a great place to start.

    • 07:55
  • This tutorial describes how to create and use calculated fields in Tableau using an example. You'll learn Tableau calculation concepts, as well as how to create and edit a calculated field. You will also learn how to work with the calculation editor, and use a calculated field in the view. If you're new to Tableau calculations or to creating calculated fields in Tableau, this is a good place to start.

    • 21:08
  • You can build several different types of maps for your geographic analysis in Tableau. If you're new to maps, or simply want to take advantage of the built-in mapping capabilities that Tableau provides, you can create a simple point or filled (polygon) map.

    • 13:07
  • You can always customize a table calculation by editing it in the Table Calculations dialog box, but there are other, more specialized ways to customize a table calculation.

    • 14:15
  • This video introduces the basics of understanding calculations in Tableau. In this topic, you'll learn why and when to use calculations.

    • 14:17