Master data analysis to make informed decisions and stay ahead in today's data-driven world.

philosophy

The world generates 2.5 quintillion bytes per day. That’s 1,000 petabytes!

With the Internet explosion in India in the past few years, the data being accumulated by companies - small and large - has multiplied tenfold.

Therefore, the industry demand for data analysts is on the rise, leading to the demand for a program that can turn a fresher into a data analyst - ready to do the work from Day One.

Explore DAol

success stories

Parinita Kanekar
Data Research Analyst
@ Morningstar
"Invact's Finance Training
enhanced my financial analysis skills, enabling me to interpret complex reports effortlessly. Prashant sir's expertise in finance and Ankita ma'am's guidance in business communication were invaluable. Grateful for their contribution to my professional growth."
Saksham
Financial Analyst @ Aptara
“I saw the ad for the first time and instantly knew that I had to take this course to learn Financial Modeling. When I went for the interview most of the questions on Depreciation, Cash Flow Statements, Balance Sheets, everything was what I had already learned. ”
Yogita Singh
Audit Consultant @ Grant Thornton
"The training had provided me with a basic to advanced level of financial modelling. The skill sets I have learned helped me a lot in the training and hope this will help me in my career as well."
Mujahid Khan
Graduate Trainee @ Kotak
"IFA's Cohort program is beginner-friendly and well-structured. Prashant sir, one of their exceptional educators, simplifies complex finance concepts, making learning accessible for all. I highly recommend IFA to anyone seeking to upskill."
Ankita Havnur
Senior Financial Analyst
@ Capgemini
“I was a trainee and intern with Invact’s Evaluation team. Not just the concepts and exercises of the training but how to handle trainees, their feedback, leadership, I learned everything here. When I applied for Capgemini, I didn’t know that I have learned so much. Thanks to the mentors ”
Sibarama Prusty
Financial Analyst @ eClerx
"I wanted to take a moment to express my deepest gratitude to you for creating such an amazing platform that has helped me in landing a job as a "Financial Analyst" at eClerx. The guidance, teaching and the network is really really helpful. It really helped me to get my role."
Aditya Ambler
Graduate Trainee @ eClerx
"I struggled to find a finance job for a year, but found Invact through an Instagram ad. I joined their course and within a month, landed a core financial analyst job. Thanks to Invact's team, including Prashant Sir and Ankita Ma'am, for helping me achieve my dream."
Harshada
Accounts Executive
@ Bharati Robotics System
"This training has given me the deep knowledge about finance and also I get to learn the skill which is very helpful for me to perform better in the corporate. I can feel the difference between before and after the training. If I say so this complete training has taken me ahead in the field of finance and I would really like to express my gratitude towards Team Invact for this Program."

why data analyst?

learning outcomes

We have talked enough about how important it is to build depth in something to achieve the desired results. Then let’s learn how will your next 10 months look like at DAol for learning Data Analytics.

Excel Excellence

Master Excel’s sorting, filtering, and subtotaling for data examination.

Enhance data presentation with conditional cell formatting.
Analyze large datasets effectively using PivotTables and PivotCharts.
Ensure data integrity through deduplication and handling missing values.
Maintain accuracy with validation rules.
Utilize array formulas for advanced data computations.
Employ functions like VLOOKUP, INDEX, MATCH, and CONCATENATE for complex calculations.

Visualization Wizardry

Master clear, accurate, and impactful data visualization principles.
Develop proficiency in selecting chart types tailored to specific datasets and goals.
Create common chart forms like bar, line, and pie charts using PowerBI.
Integrate data from various sources into comprehensive Tableau dashboards.
Develop dynamic, auto-updating dashboards in Spreadsheets.
Apply design principles for effective dashboard layouts, emphasizing hierarchy and consistency.

Domain Dominance

Master KPIs like revenue, churn rate, and engagement across domains such as healthcare, finance, and marketing.
Distinguish structured and unstructured data types for strategic analysis.
Utilize statistical measures—mean, median, mode, variance—to refine business data insights.
Pinpoint key challenges and opportunities in industry sectors, focusing analytics on impactful solutions.

SQL Supremacy

Understand SQL's crucial role in data analytics.
Acquire proficiency in utilizing SQL as both a Data Definition Language (DDL) and Data Manipulation Language (DML).
Use WHERE and ORDER BY to filter and organize query results.
Merge tables effectively using INNER, LEFT, RIGHT, and FULL JOINs.
Group and aggregate data with GROUP BY for insightful calculations.
Manage NULL values with IS NULL and IS NOT NULL operators.
Implement normalization and enforce data integrity in SQL queries.

Python Prowess

Master Python syntax and control flow for analytics.
Organize data using lists, tuples, dictionaries, and sets.
Handle CSV and JSON file operations efficiently.
Employ NumPy for numerical data tasks.
Leverage Pandas for data manipulation, focusing on indexing and filtering.
Use Matplotlib and Seaborn for visual data analysis.
Perform Exploratory Data Analysis (EDA) to uncover insights.

Advance Armory

Manage complex data structures, including hierarchical and unstructured formats.
Master advanced data cleaning techniques, focusing on outlier detection and imputation.
Utilize Excel tools like Goal Seek, Solver, and Scenario Manager for data optimization and sensitivity analysis.
Employ advanced plotting libraries such as Plotly, Bokeh, and Seaborn in Python for dynamic visualizations.
Implement Linear and Logistic Regression for predictive modeling and binary classification in machine learning.