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Data Science and AI PG Program with Job Guarantee

Data Science and AI are not just buzzwords, they are the present and very much the future. The entire world is being driven by Data and it’s no wonder that the demand for Data Professionals is sky-rocketing with lucrative salaries. Data science is a multidisciplinary field that combines techniques from computer science, mathematics, and domain expertise to extract insights and knowledge from large and complex data sets. Meritshot’s Data Science and AI Program is meant for all those individuals who want to advance their career and get that 6-figure salary. Whether you are from a technical or non-technical background, working or non-working, it does not matter because everything is taught from scratch. From your resume building, to your project portfolio, to your mock interview training, everything will be taken care of by Meritshot. The 11 month program can be easily availed on interest free EMIs, with EMIs starting from as low as Rs 5000 per month. The course is taught by industry experts and on completion, Meritshot provides IBM and Microsoft Certification. We provide personalized evaluation and projects, dedicated mentorship, domain specialization and guaranteed job offers. The high demand and low supply of skilled Data Professionals has created a ruckus among top companies who are fighting to hire the right talent. So grab this opportunity and give your career the much needed boost. Website : www.meritshot.com


  • course Duration: 9 months 25 days


  • course Full lifetime access
  • course Access on mobile
  • course Assignments
  • course Certificate of Completion
Course Description

Program Curriculum :

Preparatory Course:

EXCEL FOR DATA  ANALYTICS :  Statistical Functions, Logical Functions, Mathematical Functions, Lookup Functions, Charts, Dashboards, What-if Analysis, Forecasting, Linear Regression Analysis etc

TABLEAU AND POWER BI : Charts, Maps, Level of Details Expressions, Table Calculations, Aggregations, Granularity, Data Extracts, Filters, Dashboards and Storyboards in Tableau & Power BI.

PYTHON AND R PROGRAMMING : Variables, Operators, Strings, Data Structures, Loops, Conditionals, Functions, Regular Expressions, OOPs, Space & Time Complexity in Python, and Intro to R Programming Preparatory Course

Data Analysis Course:

STATISTICS & HYPOTHESIS TESTING : Descriptive Statistics, Basic and Conditional Probability, Inferential statistics, Normal distribution, Hypothesis testing, t test, z test, ANOVA, chi-squared

DATA  ANALYSIS AND VISUALIZATION : Introduction to Numpy, Pandas, Matplotlib, Seaborn, Basic Charts for Advanced Data Visualization, Interactive Visualization, 3D Charts and Visualization.

DATA CLEANING, PREPARATION, & PROCESSING :  Missing Values treatment, Outliers treatment, Categorical encoding, Data Manipulation functions, Data transformations, feature engineering, and feature scaling. Data Analysis Course

Machine Learning Course:

SUPERVISED LEARNING :  Linear Regression, Logistic Regression, KNN, SVM, Decision Trees, Random Forests, Boosting Algorithms, Imbalanced ML, and Advanced ML Modelling Techniques.

UNSUPERVISED LEARNING :  K Means Clustering, Hierarchical Clustering, Dimensionality Reduction, Principal Component Analysis, Linear Discriminant Analysis, Clustering metrics etc.

TIME SERIES & RECOMMENDER  SYSTEMS : Time series fundamentals, Introduction to AR, MA, ARMA, ARIMA, SARIMA, ARIMAX, SARIMAX Models, Introduction to Recommender systems using Surprise Package.

Big Data and SQL Course:

INTRO TO MY SQL AND DATABASES : Database fundamentals, DDL, DML, DQL Queries, SQL Joins, Sub queries, Set operations, Accessing databases, Loading Tables, Intro to Spark for Big Data.

QUERY ANALYSIS IN PYTHON : Introduction to Query analysis in Python using Pandas, and Pyspark library. Exploring the pyspark library to execute any kind of query in Python Programming.

INTRO TO SPARK FOR BIG DATA :  Introduction to Big Data, and Spark Architecture system, Installation and setup of Spark. Big Data Analysis, and Execution of Machine Learning Algorithms.

Positions offered after pursuing the course :  

You can bceome a

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • ML Engineer
  • NLP Engineer
  • Business Analyst
  • Data Architect
  • Database Administrator
  • Statistician

What you'll learn

  • In-depth knowledge of Data Science Concepts, Data Cleaning, Processing, ML, DL, and NLP algorithms.
  • Hands-on Experience with advanced Data Science and Business Intelligence Tools and Techniques.
  • Ability to solve Real-world Data Science problems and making data-driven decision making for optimized results.
  • Networking Opportunities with fellow students, faculties, Domain Experts, Seasoned data Science Professionals.
  • Enhanced Career Opportunities, as demand for Data Science professionals is very high across all the Industries.


  • Graduation required
About the instructor
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