Data Analytics

Learn how to turn data into valuable insights with our Data Analytics course. Get the skills you need to make smart decisions and boost your career. Join us to unlock your potential in the world of data.

What's included in the Program?

  1. Python.
  2. Excel.
  3. SQL.
  4. Statistics.
  5. Power BI, followed by a Capstone project.
  6. Intro to Machine Learning, followed by a Capstone project.
  7. Problem Solving.
6 Months (block your seat now with 5000 only)
Online
₹59,999/-

What is Data Analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can help make informed decisions. It involves using various tools and techniques to clean, transform, and model data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. Data analytics is widely used in business, healthcare, finance, and many other fields to improve performance and drive strategic initiatives.

Why should you get into Data Analytics?

Getting into data analytics offers numerous benefits, including high demand and competitive salaries. You'll play a vital role in helping organizations make data-driven decisions and improve their strategies. Additionally, the skills you acquire are versatile and applicable across various industries, providing continuous learning and growth opportunities.

Month 1 to 3

Problem Solving

  1. How to solve any problem through principles of thinking 1. Understanding the problem 2. Breaking the problem into smaller parts, creating MECE structures (Mutually Exclusive and Cumulative Exhaustive) 3. Validating/Rejecting the different smaller parts and identifying the possible solutions
  2. Solving guesstimates, and business cases.
  3. Hypothesis testing and hypothesis trees.
  4. Value driver trees, and other analytics frameworks.
  5. General aptitude and puzzle-solving skills.

Excel

  1. Fundamentals and formulae 1. Navigating Excel- Excel interface, cells, worksheets, toolbars, etc. 2. Mathematical/Arithmetic functions (Sum, sum-product, etc.) 3. Statistical functions (Mean, Percentile, Large, etc.) 4. Logical functions (If, And, Is, etc.)
  2. Charting in Excel.
  3. Data cleaning and related formulae.
  4. Dashboarding, Into power query & power pivot.

SQL

  1. Basics of Databases.
  2. Basics of SQL querying.
  3. Working with multiple tables.
  4. Advanced SQL concepts.

Month 4 & 5

PowerBI

  1. Data preparation and cleaning using Power Query, Data modeling and relationships.
  2. Creating basic visualizations (charts, tables, and matrix).
  3. Advanced visualizations (maps, gauges, and cards).
  4. Formatting and customizing visualizations.
  5. Dashboards and Interactive Features.
  6. Creating and publishing reports using Power BI Mobile and Power BI Report Server - DAX: Calculations and Measures Calculated Columns and Measures Using DAX formulas and Time Intelligence

Statistics

  1. Descriptive statistics - Mean, Median, Mode, dispersion of data, standard deviation, shape of data, skewness, etc.
  2. Intro to probability - Random variables, calculating probability, binomial distribution, Z scores, etc.
  3. Statistical inference and experimental design. 1. Estimation 2. Hypothesis testing 3. Experimental design flow

Python

  1. Intro to Python and basic DSA 1. Intro to Jupyter notebooks 2. Different data types- int, float, string, list tuple, dictionary, etc. 3. Writing functions in Python 4. Loops 5. Conditionals
  2. Data manipulation, cleaning and visualization 1. NumPy 2. Pandas 3. Matplotlib

Post PowerBI, students will be doing a Capstone project in the course, where they will choose a dataset of their choice and work with Digskillz's mentors to analyze and work on the data, utilizing the problem-solving, Excel, SQL, and PowerBI skills learned.

Month 6

Intro to Machine Learning

  1. Regression 1. Mathematical concepts of logistic and linear regression 2. Implementing regression in Python
  2. Introduction to advanced ML concepts. 1. Supervised vs unsupervised learning 2. Overview of KNN, decision trees, random forests, etc.

At the end of the course, students will be doing a second Capstone where they will choose a dataset of their choice and work with Digskillz mentors to analyze and work on the data, utilizing all skills gained during the course, and work on scripting, building, analyzing, and presenting analysis

Testimonials

Vineet Kumar

"After struggling to secure a good job in the market, I stumbled upon the Dig Skillz BD Placement Program. It turned out to be a game-changer for me. Highly recommended."

Shubham

"From working on a low salary to now earning 8 LPA and more, my journey with Dig Skillz has been nothing short of fabulous. Grateful for the opportunities they provided."

Sumit Bhati

"The services and teaching pedagogy at Dig Skillz are unparalleled in the market. Thanks to them, I found a good job, and what's even better—it's remote!"

For₹59,999/-